Staphylococcus epidermidis in Acute Myeloid Leukemia: A Comparative Genomic Study Against Non-AML Isolates
Stephanie McMahon, Samantha Franklin, Maliha Batool, Nitya Sadasivan, Safa Fatima, Jessica Galloway-Peña

TL;DR
This study compares the genomes of Staphylococcus epidermidis from leukemia patients and finds that infection-causing strains have more antibiotic resistance genes and biofilm-related traits.
Contribution
The study reveals genomic differences in S. epidermidis from AML patients, highlighting resistance and adaptability over traditional virulence factors.
Findings
Infectious AML isolates have more resistance genes like mecA and biofilm gene icaA.
AML isolates are phylogenetically close but genomically distinct from colonizing strains.
AML strains lack classical virulence factors but show higher genomic adaptability.
Abstract
Bloodstream infections (BSIs) are a major cause of morbidity and mortality in acute myeloid leukemia (AML) patients undergoing induction chemotherapy. Staphylococcus epidermidis, typically a skin commensal, is increasingly recognized as a pathogen in these vulnerable individuals. This study investigated whether genomic differences exist between infectious and gastrointestinal colonizing S. epidermidis isolates from AML patients and how these compare to colonizing and infectious isolates from other patient groups and biogeographic sites. We analyzed 114 isolates—44 from AML patients (23 infections, 21 GI colonizers) and 70 from public datasets (34 infections, 36 colonizers). Stool samples underwent 16S rRNA sequencing and culture to identify colonization, while bloodstream isolates were sequenced and compared. Genomic profiling using Roary, Scoary, Phyre2, and InterProScan revealed that…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsAntimicrobial Resistance in Staphylococcus · Bacterial Identification and Susceptibility Testing · Bacterial biofilms and quorum sensing
