Junwei Wang

Junwei Wang


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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13 May 2022 in Frontiers in Bioengineering and Biotechnology
Verified
Journal Article
Open access
BLBo Lin
Bo Lin
YMYing-Yu Ma
Ying-Yu Ma
JWJunwei Wang
Junwei Wang
Diabetic nephropathy (DN) is the leading cause of end-stage renal disease worldwide. With the rising prevalence of diabetes, the occurrence of DN is likely to hit pandemic proportions. The current treatment strategies employed for DN focus on the management of blood pressure, glycemia, and cholesterol while neglecting DN’s molecular progression mechanism. For many theranostic uses, nano-technological techniques have evolved in biomedical studies. Several nanotechnologically based theranostics have been devised that can be tagged with targeting moieties for both drug administration and/or imaging systems and are being studied to identify various clinical conditions. The molecular mechanisms involved in DN are discussed in this review to assist in understanding its onset and progression pattern. We have also discussed emerging strategies for establishing a nanomedicine-based platform for DN-targeted drug delivery to increase drug’s efficacy and safety, as well as their reported applications.

1 January 2019 in Brazilian Journal of Medical and Biological Research
Verified
Journal Article
Open access
PDF file
ZLZhaohuan Lou
Zhaohuan Lou
JWJunwei Wang
Junwei Wang
YCYingjun Chen
Yingjun Chen
CXChandi Xu
Chandi Xu
XCXinyi Chen
Xinyi Chen
HPHongying Pan
Hongying Pan
This study aimed to explore the influence of gut microbiota alterations induced by Linderae radix ethanol extract (LREE) on alcoholic liver disease (ALD) in rats and to study the anti-inflammatory effect of LREE on ALD through the lipopolysaccharide (LPS) toll-like receptor 4 (TLR4)-nuclear factor kappa B (NF-κB) pathway. ALD rat models were established by intragastric liquor [50% (v/v) ethanol] administration at 10 mL/kg body weight for 20 days. Rats were divided into six groups: normal group (no treatment), model group (ALD rats), Essentiale group (ALD rats fed with Essentiale, 137 mg/kg), and LREE high/moderate/low dose groups (ALD rats fed with 4, 2, or 1 g LREE/kg). NF-κB and LPS levels were evaluated. Liver pathological changes and intestinal ultrastructure were examined by hematoxylin and eosin staining and transmission electron microscopy. The gut microbiota composition was evaluated by 16S rDNA sequencing. Expression levels of TLR4 and CD68 in liver tissue, and occludin and claudin-1 in intestinal tissue were measured. LREE treatment significantly reduced NF-κB and LPS levels, improved liver pathological changes, and ameliorated intestinal ultrastructure injury. Meanwhile, LREE-fed groups showed a higher abundance of Firmicutes and a lower abundance of Bacteroidetes than the rats in the model group. Administration of LREE suppressed TLR4 overexpression and promoted the expression of occludin and claudin-1 in intestine tissue. Thus, LREE could partly ameliorate microflora dysbiosis, suppress the inflammatory response, and attenuate liver injury in ALD rats. The protective effect of LREE might be related to the LPS-TLR4-NF-κB pathway.

24 October 2023 in Molecular Biotechnology
Verified
Journal Article
Open access
PDF file
YCYingjun Chen
Yingjun Chen
SCShaoxian Chen
Shaoxian Chen
CXChandi Xu
Chandi Xu
LYLi Yu
Li Yu
SCShanshan Chu
Shanshan Chu
JWJunwei Wang
Junwei Wang
Liver cirrhosis is one of the most prevalent chronic liver disorders with high mortality. We aimed to explore changed gut microbiome and urine metabolome in compensatory liver cirrhosis (CLC) patients, thus providing novel diagnostic biomarkers for CLC. Forty fecal samples from healthy volunteers (control: 19) and CLC patients (patient: 21) were undertaken 16S rDNA sequencing. Chromatography-mass spectrometry was performed on 40 urine samples (20 controls and 20 patients). Microbiome and metabolome data were separately analyzed using corresponding bioinformatics approaches. The diagnostic model was constructed using the least absolute shrinkage and selection operator regression. The optimal diagnostic model was determined by five-fold cross-validation. Pearson correlation analysis was applied to clarify the relations among the diagnostic markers. 16S rDNA sequencing analyses showed changed overall alpha diversity and beta diversity in patient samples compared with those of controls. Similarly, we identified 841 changed metabolites. Pathway analysis revealed that the differential metabolites were mainly associated with pathways, such as tryptophan metabolism, purine metabolism, and steroid hormone biosynthesis. A 9-maker diagnostic model for CLC was determined, including 7 microorganisms and 2 metabolites. In this model, there were multiple correlations between microorganisms and metabolites. Subdoligranulum, Agathobacter, norank_f_Eubacterium_coprostanoligenes_group, Butyricicoccus, Lachnospiraceae_UCG_004, and L-2,3-Dihydrodipicolinate were elevated in CLC patients, whereas Blautia, Monoglobus, and 5-Acetamidovalerate were reduced. A novel diagnostic model for CLC was constructed and verified to be reliable, which provides new strategies for the diagnosis and treatment of CLC.

22 September 2025 in Journal of Controlled Release
Verified
Journal Article
Closed access
TGTong Ge
Tong Ge
ANAodi Niu
Aodi Niu
YLYuqing Lv
Yuqing Lv
YCYuxuan Chen
Yuxuan Chen
YLYuxuan Liu
Yuxuan Liu
XMXiao-Zhou Mou
Xiao-Zhou Mou

18 August 2025 in Science China Chemistry
Verified
Journal Article
Closed access
PDF file
RLRui Liu
Rui Liu
LLLi Long
Li Long
XYXiaoyi Yan
Xiaoyi Yan
HGHua Guo
Hua Guo
RWRan Wu
Ran Wu
XWXiaodong Wang
Xiaodong Wang

13 July 2021 in Future Microbiology
Verified
Journal Article
Closed access
LYLi Yu
Li Yu
CYCongcong Yan
Congcong Yan
SCShanshan Chu
Shanshan Chu
YCYingjun Chen
Yingjun Chen
JWJunwei Wang
Junwei Wang
The current study presents two patients who lived in a rural family with close contact and suffered from rapidly progressive pneumonia. Chest computed tomography images and lymphocytopenia indicate...