Xiaoling Yu

Dr. Xiaoling Yu


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

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

Representative Publications

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20 June 2025 in PLOS Pathogens
Verified
Journal Article
Open access
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JWJiaWang Wang
JiaWang Wang
HHHuan Hu
Huan Hu
QWQingQing Wang
QingQing Wang
TZTianZhu Zhu
TianZhu Zhu
XRXiaoHan Ren
XiaoHan Ren
XYXiaoling Yu
Xiaoling Yu
Acinetobacter baumannii is a notable opportunistic pathogen responsible for severe hospital-acquired infections, with multidrug-resistant strains posing significant treatment challenges. Phage therapy, which employs bacteriophages as natural bacterial antagonists, has gained renewed attention as a promising solution to combat antibiotic-resistant infections. In this study, we isolated and characterized a novel virulent phage, vB_AbaS_qsb1, which specifically lyses A.baumannii. Phylogenetic and genomic analyses indicate that vB_AbaS_qsb1 is the founding member of a previously unreported genus, which we propose to name Acinibactriovirus, with Acinibactriovirus lysinus as the type species. vB_AbaS_qsb1 demonstrated robust stability across diverse temperature and pH ranges, a short latent period, and no known virulence or antibiotic resistance genes within its 54,713 bp dsDNA genome. Safety assessments showed that high-dose vB_AbaS_qsb1 induced no adverse effects in mice, with histopathology confirming its safety profile. Therapeutic experiments further indicated that vB_AbaS_qsb1 provided at least 50% protection against A.baumannii-induced pneumonia, significantly reducing bacterial loads and inflammation markers, while maintaining high phage titers in lung tissue.This study introduces vB_AbaS_qsb1 as a promising candidate for phage therapy against A.baumannii, offering both innovative insights and a valuable framework for future isolation, genomic characterization, and efficacy evaluation of phages targeting antibiotic-resistant bacteria.

1 January 2021 in Infection and Drug Resistance
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Journal Article
Open access
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XYXiaoling Yu
Xiaoling Yu
WJWenqian Jiang
Wenqian Jiang
Non-tuberculous mycobacteria are conditional pathogens that can cause many diseases, among which pulmonary infections are the most common (65– 90%). Mycobacterium avium and Mycobacterium abscessus are non-tuberculous mycobacteria most often associated with lung diseases. Mass spectrometry diagnostic techniques were not effective in Mycobacterium avium complex infection. We report a case of Mycobacterium colombiense and Mycobacterium avium complex causing severe pneumonia in an adult with HIV. Our group developed a novel molecular-based method to identify Mycobacterium species. Novel techniques such as molecular cloning which we have described here can make up for the inability of matrix-assisted laser desorption ionization-time of flight mass spectrometry to distinguish the multiple microorganisms present, and may add to the diagnostic toolkit and increase the accuracy and rapidity of diagnosis in the future.

4 March 2022 in Biomedical Physics & Engineering Express
Verified
Journal Article
Closed access
SLSiqi Li
Siqi Li
XYXiaoling Yu
Xiaoling Yu
YLYuan Li
Yuan Li
TZTian Zhang
Tian Zhang
For nerve tissue engineering (NTE), scaffolds with the ability to release drugs under control and support the rapid proliferation of cells are very important for the repair of nerve defects. This study aimed to fabricate a conductive drug-loaded fiber mat by electrospinning and assess its potential as a scaffold for Schwann cells proliferation. The conductive polypyrrole (PPy) was coated on an electrospun poly (D, L-lactide) (PLA) fibrous mat, which was simultaneously embedded with protein-loaded chitosan nanoparticles and ibuprofen as a model small molecule drug. The fibrous mat shows suitable conductivity, mechanical properties, and hydrophilicity for NTE. For drug release and degradation studies, the fibrous mat can achieve sustained release of bovine serum albumin (BSA) and ibuprofen, and the PPy coating can increase the surface wettability and conductivity while slowing down the degradation of the fibrous mat. The application of electrical stimulation (ES) to the fibrous mat can accelerate the release of ibuprofen, but there was no significant effect on the release rate of the protein. The fibrous mat showed no cytotoxicity in vitro , and Schwann cells (SCs) can adhere, grow, and proliferate well on mats. At the 120th hour of culture in vitro , the relative growth rate of SCs on the conductive drug-loaded fibrous mat reached 198.22 ± 2.34%, which was an increase of 37.93% compared to the SCs on the drug-loaded fibrous mat with ES. The density and elongation of SCs on the conductive drug-loaded fibrous mat were greater than those on the PLA fibrous mat, indicating that the conductive polypyrrole-coated electrospun chitosan nanoparticles/PLA fibrous mat has good potential for application in nerve regeneration.

30 July 2024 in Journal of Pharmaceutical and Biomedical Analysis
Verified
Journal Article
Closed access
LWLingjie Wu
Lingjie Wu
XZXiaoying Zhang
Xiaoying Zhang
NLNaishun Liao
Naishun Liao
ZYZhenjie Ye
Zhenjie Ye
XYXiaoling Yu
Xiaoling Yu
XLXiaolong Liu
Xiaolong Liu

1 January 2021 in BioMed Research International
Verified
Journal Article
Open access
PDF file
XYXiaoling Yu
Xiaoling Yu
WJWenqian Jiang
Wenqian Jiang
XHXinhui Huang
Xinhui Huang
JLJun Lin
Jun Lin
HYHanhui Ye
Hanhui Ye
BLBaorong Liu
Baorong Liu
Traditional pathogenic diagnosis presents defects such as a low positivity rate, inability to identify uncultured microorganisms, and time‐consuming nature. Clinical metagenomics next‐generation sequencing can be used to detect any pathogen, compensating for the shortcomings of traditional pathogenic diagnosis. We report third‐generation long‐read sequencing results and second‐generation short‐read sequencing results for ascitic fluid from a patient with liver ascites and compared the two types of sequencing results with the results of traditional clinical microbial culture. The distribution of pathogenic microbial species revealed by the two types of sequencing results was quite different, and the third‐generation sequencing results were consistent with the results of traditional microbial culture, which can effectively guide subsequent treatment. Short reads, the lack of amplification, and enrichment to amplify signals from trace pathogens, and host background noise may be the reasons for the high error in the second‐generation short‐read sequencing results. Therefore, we propose that long‐read‐based rRNA analysis technology is superior to the short‐read shotgun‐based metagenomics method in the identification of pathogenic bacteria.

18 September 2020 in medRxiv
Verified
Preprint
Open access
PDF file
XYXiaoling Yu
Xiaoling Yu
WJWenqian Jiang
Wenqian Jiang
XHXinhui Huang
Xinhui Huang
JLJun Lin
Jun Lin
HYHanhui Ye
Hanhui Ye
BLBaorong Liu
Baorong Liu
Traditional pathogenic diagnosis presents defects such as a low positivity rate, inability to identify uncultured microorganisms, and time-consuming nature. Clinical metagenomics next-generation sequencing can be used to detect any pathogen, compensating for the shortcomings of traditional pathogenic diagnosis. We report third-generation long-read sequencing results and second-generation short-read sequencing results for ascitic fluid from a patient with liver ascites and compared the two types of sequencing results with the results of traditional clinical microbial culture. The distribution of pathogenic microbial species revealed by the two types of sequencing results was quite different, and the third-generation sequencing results were consistent with the results of traditional microbial culture, which can effectively guide subsequent treatment. Short reads, the lack of amplification and enrichment to amplify signals from trace pathogens, and host background noise may be the reasons for high error in the second-generation short-read sequencing results. Therefore, we propose that long-read-based rRNA analysis technology is superior to the short-read shotgun-based metagenomics method in the identification of pathogenic bacteria.