Xuanfeng Liu

Dr. Xuanfeng Liu


Research Focus & Metrics

Academic Career Length

1Year (2026-Present)

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

Representative Publications

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16 March 2026 in Pharmaceuticals
Verified
Journal Article
Open access
PDF file
CYChao Yan
Chao Yan
YCYujie Chen
Yujie Chen
ASAn Su
An Su
XLXuanfeng Liu
Xuanfeng Liu
XJXinyu Jia
Xinyu Jia
JYJing Yuan
Jing Yuan
Background/Objectives: The aim of this study was to clarify the antimicrobial susceptibility and distribution characteristics of Mycoplasma pneumoniae (M. pneumoniae, MP) collected from children in Beijing, China, from 2017 to 2025. Methods: A total of 197 MP isolates were analyzed. Mutations in macrolide-resistant loci of MP strains were detected via real-time fluorescent quantitative polymerase chain reactions. We used the broth microdilution method to determine the minimum inhibitory concentrations (MICs) of erythromycin, azithromycin, tetracycline, levofloxacin, and moxifloxacin against these isolates. The distribution characteristics of MIC values were further analyzed according to the isolates’ collection year, epidemic phase (low epidemic phase, epidemic initiation phase, ultra-low epidemic phase, outbreak phase, and epidemic recovery phase), and the corresponding patient age group (<3 years, 3–6 years, and ≥6 years). Results: All 197 isolates were found to be resistant to erythromycin and azithromycin, with a resistance rate of 100%. In contrast, the strains remained susceptible to tetracycline, levofloxacin and moxifloxacin. The highest resistance rate was 100% for macrolides. The MIC90 values were 1024 μg/mL for erythromycin, 256 μg/mL for azithromycin, 0.5 μg/mL for tetracycline, 1 μg/mL for levofloxacin, and 0.125 μg/mL for moxifloxacin, respectively. Distinct differences in MIC distributions of erythromycin and azithromycin were observed across collection years, epidemic phases, and age groups. Conclusions: The resistance of MP to macrolides in children is closely associated with the epidemic intensity and age of the patient. Erythromycin is no longer suitable as an empirical therapy for MP infections during epidemic periods, whereas azithromycin can be cautiously administered in young children according to age stratification and MIC detection results. Meanwhile, it is imperative to strengthen the prevention and control of cluster MP infections during epidemic phases to reduce the transmission of drug-resistant MP strains.

14 July 2026 in Pathogens
Verified
Journal Article
Open access
PDF file
CYChao Yan
Chao Yan
XLXuanfeng Liu
Xuanfeng Liu
YCYujie Chen
Yujie Chen
ASAn Su
An Su
XRxue ren
xue ren
JYJing Yuan
Jing Yuan
This study aimed to use quantitative phosphoproteomics to explore phosphorylation characteristics in Klebsiella pneumoniae (Kpn)-induced liver abscess (KPLA) formation and liver injury. The Kpn strain LA-Kpn006 was phenotypically and genotypically characterized. A murine model of KPLA was established via intragastric inoculation. Phosphoproteomics and bioinformatic analyses were conducted to identify and quantify phosphosites and phosphoproteins. LA-Kpn006 displayed a hypermucoviscous phenotype, serotype K1, ST23 genotype, and harbored six major virulence genes. Inoculation induced liver colonization and typical histopathological abscess lesions. We quantified 3017 phosphoproteins covering 12,798 phosphosites (dominated by serine phosphorylation); 1723 proteins were upregulated and 425 downregulated. Bioinformatic analyses revealed remodeling in metabolism, stress response, signal transduction, and cytoskeleton organization. Upregulated proteins converged on fatty acid elongation, inositol phosphate metabolism, and the tricarboxylic acid cycle; downregulated proteins were enriched in PI3K–Akt, IL-17 signaling, and T-cell differentiation. Protein–protein interaction network analysis identified 10 key proteins (Src, Rac1, Actb, Hsp90aa1, Hsp90ab1, Egfr, Rps6, Pik3CA, Itgb1, and Fyn) that mediate inflammatory signaling, cytoskeleton remodeling, and immune infiltration. Dysregulated phosphorylation networks drive pathological metabolic adaptation, suppressed immune homeostasis, and cytoskeletal disorganization, collectively facilitating KPLA progression. The identified hub proteins and pathways represent high-value mechanistic targets and candidate therapeutic vulnerabilities for KPLA.