Publications by authors named "Leihao Tian"

Enterococcus faecalis is one of the main pathogens that causes hospital-acquired infections because it is intrinsically resistant to some antibiotics and often is capable of biofilm formation, which plays a critical role in resisting the external environment. Therefore, attacking biofilms is a potential therapeutic strategy for infections caused by E. faecalis.

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Article Synopsis
  • Corynebacterium striatum is gaining attention for its antimicrobial resistance and role in infections, prompting the need for better genotyping methods to track its spread.
  • The study introduces a core genome multilocus sequence typing (cgMLST) scheme targeting 1,795 genes, improving on traditional methods by offering greater discrimination and congruence with single-nucleotide polymorphism typing.
  • Through this new scheme, researchers identified several clonal groups associated with high virulence and drug resistance, providing insights into the epidemiology and potential outbreaks of C. striatum in healthcare settings.
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  • - The study investigates how the use of antibiotics impacts the ocular surface microbiome in keratitis patients, comparing those treated with antibiotics to healthy controls and antibiotic-naive patients.
  • - Findings revealed significant differences in the microbial community structure between antibiotic-treated keratitis patients and healthy individuals, with certain Pseudomonas species identified as potential carriers of multidrug-resistant genes.
  • - The research concludes that antibiotic treatment for keratitis increases the abundance of antibiotic resistance genes in the ocular microbiota, highlighting the need to understand these resistance patterns for better antimicrobial therapy.
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As the COVID-19 pandemic spread globally, the consumption of antibiotics increased. However, no studies exist evaluating the effect of antibiotics use on the antibiotic resistance of intestinal flora in COVID-19 patients during the pandemic. To explore this issue, we collected 15 metagenomic data of fecal samples from healthy controls (HCs) with no use history of antibiotics, 23 metagenomic data of fecal samples from COVID-19 patients who received empirical antibiotics [COVID-19 (abx+)], 18 metagenomic data of fecal samples from antibiotics-naïve COVID-19 patients [COVID-19 (abx-)], and six metagenomic data of fecal samples from patients with community-acquired pneumonia [PC (abx+)] from the Sequence Read Archive database.

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