Yuan LUO

Dr. Yuan LUO


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

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1 October 2014 in Complementary Therapies in Medicine
Verified
Journal Article
Open access
ZFZhaohui Fang
Zhaohui Fang
JZJindong Zhao
Jindong Zhao
GSGuobing Shi
Guobing Shi
YSYiqiong Shu
Yiqiong Shu
YNYingqun Ni
Yingqun Ni
RARobert M Anderson
Robert M Anderson
The purpose of the study was to evaluate the clinical effects of the Shenzhu Tiaopi granule (SZTP) combined with a lifestyle intervention in patients with impaired glucose tolerance (IGT), who also had a spleen deficiency and damp overabundance syndrome (SDDOS). After a one-month washout period, a total of 514 patients were randomly assigned to the control (lifestyle intervention) and experimental (SZTP plus lifestyle intervention) groups, with 257 patients in each group. Patients in the control group received the lifestyle intervention (diet and exercise) for 12 months, while the patients in the experimental group were treated with SZTP plus the lifestyle intervention for 12 months. The Traditional Chinese Medicinal (TCM) symptom scores were observed in each group before and after treatment; the conversion rates from IGT to diabetes mellitus (DM) were also measured. Following 12 months of treatment, the conversion rate from IGT to DM in the experimental group was significantly lower than in the control group (8.52% vs. 15.28%, P<0.05). A significantly higher number of patients with IGT reverted to normal blood glucose levels in the experimental group than in the control group (42.15% vs. 32.87%, P<0.05). In addition, after following the treatment for 12 months, the TCM symptoms of patients in the experimental group were markedly alleviated, as compared to the control group (P<0.01). The combination of SZTP and lifestyle intervention showed a reduction in the conversion from IGT to DM, and an increase in the conversion from IGT to normal blood glucose levels.

1 January 2016 in Oxidative Medicine and Cellular Longevity
Verified
Journal Article
Open access
PDF file
YLYuan LUO
Yuan LUO
XWXinyu Wen
Xinyu Wen
LWLing Wang
Ling Wang
JGJing Gao
Jing Gao
ZWZi Wang
Zi Wang
YTYaping Tian
Yaping Tian
Although both oxidative stress and microRNAs (miRNAs) play vital roles in physiological and pathological processes, little is known about the interactions between them. In this study, we first described the regulation of H2O2 in cell viability, proliferation, cycle, and apoptosis of human hepatocellular carcinoma cell line HepG2. Then, miRNAs expression was profiled after H2O2 treatment. The results showed that high concentration of H2O2 (600 μM) could decrease cell viability, inhibit cell proliferation, induce cell cycle arrest, and finally promote cell apoptosis. Conversely, no significant effects could be found under treatment with low concentration (30 μM). miRNAs array analysis identified 131 differentially expressed miRNAs (125 were upregulated and 6 were downregulated) and predicted 13504 putative target genes of the deregulated miRNAs. Gene ontology (GO) analysis revealed that the putative target genes were associated with H2O2‐induced cell growth arrest and apoptosis. The subsequent bioinformatics analysis indicated that H2O2‐response pathways, including MAPK signaling pathway, apoptosis, and pathways in cancer and cell cycle, were significantly affected. Overall, these results provided comprehensive information on the biological function of H2O2 treatment in HepG2 cells. The identification of miRNAs and their putative targets may offer new diagnostic and therapeutic strategies for liver cancer.

14 February 2024 in Electrophoresis
Verified
Journal Article
Closed access
YLYuan LUO
Yuan LUO
JZJiarong Zhang
Jiarong Zhang
MNMing Ni
Ming Ni
ZMZhusong Mei
Zhusong Mei
QYQiao Ye
Qiao Ye
GWGuangyun Wang
Guangyun Wang

29 August 2025 in Metabolites
Verified
Journal Article
Open access
PDF file
GZGuizhen Zhu
Guizhen Zhu
YLYuan LUO
Yuan LUO
NSNan Su
Nan Su
XZXiangyi Zheng
Xiangyi Zheng
ZMZhusong Mei
Zhusong Mei
HZHaitao Zhang
Haitao Zhang
Background/Objectives: Gout, a complex metabolic disorder of increasing global incidence, remains incompletely understood in its pathogenesis. Current diagnostic approaches exhibit significant limitations, including insufficient specificity and the requirement for invasive joint aspiration, highlighting the need for non-invasive, sensitive biomarkers for early detection. Methods: Urine metabolites were extracted from 28 healthy controls, 13 asymptomatic hyperuricemia (HUA) patients, and 29 acute gouty arthritis (AGA) patients. The extracted metabolites were analyzed by UHPLC-MS/MS for untargeted metabolomics. Differential metabolites were screened by partial least squares discriminant analysis (PLS-DA) and volcano plot analysis. Pathway analysis determined the core disorder pathway of gout progression. Results: A total of 278 differential metabolites associated with gout progression were identified. The most pronounced metabolic alterations were observed between the AGA and control groups, indicative of substantial metabolic reprogramming during disease transition. Metabolic pathway analysis revealed four significantly dysregulated pathways: histidine metabolism, nicotinate and nicotinamide metabolism, phenylalanine metabolism, and tyrosine metabolism. Receiver operating characteristic (ROC) curve analysis revealed that three urine markers with high diagnostic efficacy—oxoamide, 3-methylindole, and palmitic acid—exhibited progressive alterations across the disease continuum. Conclusions: This metabolomics study identified core regulatory metabolites and newly discovered metabolic pathways underlying gout pathogenesis, along with novel urinary biomarkers capable of predicting HUA-to-AGA progression. The aberrant levels of key metabolites in the disordered pathway implicate neuroimmune dysregulation, energy metabolism disruption, and oxidative stress in gout pathogenesis. These findings provide new foundations and strategies for the daily monitoring and prevention of gout.

25 December 2025 in Cells
Verified
Journal Article
Open access
PDF file
GZGuizhen Zhu
Guizhen Zhu
YLYuan LUO
Yuan LUO
XZXiangyi Zheng
Xiangyi Zheng
ZMZhusong Mei
Zhusong Mei
QYQiao Ye
Qiao Ye
GWGuangyun Wang
Guangyun Wang
The acute gouty arthritis (AGA) to chronic gouty arthritis (CGA) transition is a critical phase leading to irreversible joint damage and systemic complications. However, current molecular mechanism investigations have remained limited to single-omics approaches that lack comprehensive multi-omics explorations. We integrate high-depth data-independent acquisition (DIA) proteomics and untargeted metabolomics to analyze serum samples from healthy controls (n =28), AGA (n = 31), and CGA (n = 14) patients to address this gap. Through differential expression analysis, we identified nine persistently dysregulated pivotal proteins with robust discriminative capacity, including the urate excretion regulator ZBTB20 and inflammation/immune-related proteins (GUCY1A2, CNDP1, LYZ, SERPINA5, GSN). Additionally, 11 consistently altered core metabolites with diagnostic potential were detected, indicating perturbations in sex hormones, thyroid hormones, gut microbiota-derived metabolites, environmental exposures, and nutritional factors. Multi-omics KEGG enrichment analysis highlighted thyroid hormone synthesis, AMPK signaling pathway, and taurine and hypotaurine metabolism as central pathways. Correlation network analysis further revealed significant immune dysregulation, illustrating an evolution from acute immune activation to chronic inflammation during AGA-to-CGA progression. Our study establishes that a coordinated disruption of the thyroid hormone–AMPK–taurine metabolic axis and concomitant immune microenvironment remodeling is associated with chronic gout development. These findings provide critical targets for developing early diagnostic indicators and targeted interventions for CGA.

22 September 2021
Verified
Book Chapter
Closed access
PDF file
LFLongmei Fang
Longmei Fang
GWGuangyun Wang
Guangyun Wang
RWRuoyong Wang
Ruoyong Wang
SBShuang Bai
Shuang Bai
DFDongyun Fen
Dongyun Fen
PDPeng Du
Peng Du