Qiling Yuan

Dr. Qiling Yuan

Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, China
orcid
A postdoc of Xi'an Jiaotong University

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

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

Representative Publications

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24 February 2015 in PLOS ONE
Verified
Journal Article
Open access
PDF file
QYQiling Yuan
Qiling Yuan
TGTuan-Mao Guo
Tuan-Mao Guo
LLLiang Liu
Liang Liu
FSFu Sun
Fu Sun
YZYin-gang Zhang
Yin-gang Zhang
This study investigated fates of nine antibiotic-resistant bacteria as well as two series of antibiotic resistance genes in wastewater treated by various doses of chlorine (0, 15, 30, 60, 150 and 300 mg Cl2 min/L). The results indicated that chlorination was effective in inactivating antibiotic-resistant bacteria. Most bacteria were inactivated completely at the lowest dose (15 mg Cl2 min/L). By comparison, sulfadiazine- and erythromycin-resistant bacteria exhibited tolerance to low chlorine dose (up to 60 mg Cl2 min/L). However, quantitative real-time PCRs revealed that chlorination decreased limited erythromycin or tetracycline resistance genes, with the removal levels of overall erythromycin and tetracycline resistance genes at 0.42 ± 0.12 log and 0.10 ± 0.02 log, respectively. About 40% of erythromycin-resistance genes and 80% of tetracycline resistance genes could not be removed by chlorination. Chlorination was considered not effective in controlling antimicrobial resistance. More concern needs to be paid to the potential risk of antibiotic resistance genes in the wastewater after chlorination.

1 March 2021 in Arabian Journal of Chemistry
Verified
Journal Article
Open access
HMHongyun Ma
Hongyun Ma
ASAngxiu Suonan
Angxiu Suonan
JZJingyuan Zhou
Jingyuan Zhou
QYQiling Yuan
Qiling Yuan
LLLiang Liu
Liang Liu
YZYin-Gang Zhang
Yin-Gang Zhang

29 July 2016 in Scientific Reports
Verified
Journal Article
Open access
QYQiling Yuan
Qiling Yuan
PWPeng Wang
Peng Wang
LLLiang Liu
Liang Liu
FSFu Sun
Fu Sun
YCYong-Song Cai
Yong-Song Cai
YZYin-gang Zhang
Yin-gang Zhang
The aims of this systematic review were to study the analgesic effect of real acupuncture and to explore whether sham acupuncture (SA) type is related to the estimated effect of real acupuncture for musculoskeletal pain. Five databases were searched. The outcome was pain or disability immediately (≤1 week) following an intervention. Standardized mean differences (SMDs) with 95% confidence intervals were calculated. Meta-regression was used to explore possible sources of heterogeneity. Sixty-three studies (6382 individuals) were included. Eight condition types were included. The pooled effect size was moderate for pain relief (59 trials, 4980 individuals, SMD −0.61, 95% CI −0.76 to −0.47; P < 0.001) and large for disability improvement (31 trials, 4876 individuals, −0.77, −1.05 to −0.49; P < 0.001). In a univariate meta-regression model, sham needle location and/or depth could explain most or all heterogeneities for some conditions (e.g., shoulder pain, low back pain, osteoarthritis, myofascial pain and fibromyalgia); however, the interactions between subgroups via these covariates were not significant (P < 0.05). Our review provided low-quality evidence that real acupuncture has a moderate effect (approximate 12-point reduction on the 100-mm visual analogue scale) on musculoskeletal pain. SA type did not appear to be related to the estimated effect of real acupuncture.

29 July 2022 in Frontiers in Immunology
Verified
Journal Article
Open access
MYMingyi Yang
Mingyi Yang
HZHaishi Zheng
Haishi Zheng
KXKe Xu
Ke Xu
QYQiling Yuan
Qiling Yuan
YAYirixaiti Aihaiti
Yirixaiti Aihaiti
PXPeng Xu
Peng Xu
Objective: Osteosarcoma (OS) is a common bone malignancy with poor prognosis. We aimed to investigate the relationship between cuproptosis-related lncRNAs (CRLncs) and the survival outcomes of patients with OS.Methods: Transcriptome and clinical data of 86 patients with OS were downloaded from The Cancer Genome Atlas (TCGA). The GSE16088 dataset was downloaded from the Gene Expression Omnibus (GEO) database. The 10 cuproptosis-related genes (CRGs) were obtained from a recently published article on cuproptosis in Science. Combined analysis of OS transcriptome data and the GSE16088 dataset identified differentially expressed CRGs related to OS. Next, pathway enrichment analysis was performed. Co-expression analysis obtained CRLncs related to OS. Univariate COX regression analysis and least absolute shrinkage and selection operator (LASSO) regression analysis were used to construct the risk prognostic model of CRLncs. The samples were divided evenly into training and test groups to verify the accuracy of the model. Risk curve, survival, receiver operating characteristic (ROC) curve, and independent prognostic analyses were performed. Next, principal component analysis (PCA) and t-distributed stochastic neighbor embedding (t-SNE) analysis were performed. Single-sample gene set enrichment analysis (ssGSEA) was used to explore the correlation between the risk prognostic models and OS immune microenvironment. Drug sensitivity analysis identified drugs with potential efficacy in OS. Real-time quantitative PCR, Western blotting, and immunohistochemistry analyses verified the expression of CRGs in OS. Real-time quantitative PCR was used to verify the expression of CRLncs in OS.Results: Six CRLncs that can guide OS prognosis and immune microenvironment were obtained, including three high-risk CRLncs (AL645608.6, AL591767.1, and UNC5B-AS1) and three low-risk CRLncs (CARD8-AS1, AC098487.1, and AC005041.3). Immune cells such as B cells, macrophages, T-helper type 2 (Th2) cells, regulatory T cells (Treg), and immune functions such as APC co-inhibition, checkpoint, and T-cell co-inhibition were significantly downregulated in high-risk groups. In addition, we obtained four drugs with potential efficacy for OS: AUY922, bortezomib, lenalidomide, and Z.LLNle.CHO. The expression of LIPT1, DLAT, and FDX1 at both mRNA and protein levels was significantly elevated in OS cell lines compared with normal osteoblast hFOB1.19. The mRNA expression level of AL591767.1 was decreased in OS, and that of AL645608.6, CARD8-AS1, AC005041.3, AC098487.1, and UNC5B-AS1 was upregulated in OS.Conclusion: CRLncs that can guide OS prognosis and the immune microenvironment and drugs that may have a potential curative effect on OS obtained in this study provide a theoretical basis for OS survival research and clinical decision-making.

1 May 2023 in Journal of Inflammation Research
Verified
Journal Article
Open access
LPLuo Pan
Luo Pan
QYQiling Yuan
Qiling Yuan
XWXianjie Wan
Xianjie Wan
MYMingyi Yang
Mingyi Yang
PXPeng Xu
Peng Xu
The pathological manifestations of osteoarthritis (OA) involve the destruction of articular cartilage, synovial sac thickening, subchondral osteosclerosis and osteophyte formation. The types of cells involved in OA include chondrocytes, osteoblasts, osteoclasts, synovial fibroblasts, T cells, macrophages, and mesenchymal stem cells (MSCs). There are many effects of immune cells in OA, and innate immune cells such as dendritic cells and macrophages have significant roles in the pathogenesis of OA. On the other hand, the role of adaptive immune cells such as T-cell subsets, B-cell subsets, and NK cells is important in OA pathogenesis. MSCs not only play a key role in the dynamic balance and repair of OA tissue but also inhibit the immune system. Therefore, MSCs are a new potential therapeutic agent for OA. This review mainly summarizes the effects of various immune cells and cytokines on different cells in OA to find new effective therapeutic targets for OA therapy based on the immune system and cytokine activity sites to prevent the development of OA.

5 June 2019 in The Anatomical Record
Verified
Journal Article
Open access
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QYQiling Yuan
Qiling Yuan
YZYin‐Gang Zhang
Yin‐Gang Zhang
Qian ChenQian Chen
Qian Chen
Mesenchymal stem cells (MSCs) are pluripotent progenitor cells with the capabilities of self‐renewing, differentiating into multiple lineages, and achieving trophic effects during tissue repair. MSCs can secrete extracellular vesicles (EVs) including exosomes and microvesicles, which mediate their trophic effects on other cells. Carrying a variety of intracellular molecules of MSCs including lipids, proteins, RNA (mRNA and noncoding RNA), and DNA, EVs deliver them into other cells to regulate tissue regeneration process. The therapeutic effects of MSC‐derived EVs have been observed in a number of animal disease models. In this review, we focus on the current state and future directions of MSC‐derived EVs in regenerative medicine. Anat Rec, 2019.