Mycoplasma Pneumoniae Genomic Surveillance Data from Russia 2024-2025
by Elena V. Korneenko·Updated 2mo ago
836.6 KB1files
Available on 1 platform
Sign in to view source links and access this dataset
Description
January 2024 to June 2025 surveillance data covers molecular analysis of 482 nasopharyngeal swabs from community-acquired pneumonia patients in Russia. It includes results for Mycoplasma pneumoniae detection, co-infections with bacteria like H. influenzae and viruses like RSV, and genetic mutations linked to macrolide resistance. The dataset contains findings from PCR, ELISA, and high-throughput sequencing of genes including mgpA, 23S, parC, and gyrA.
Use Cases
Analyze geographic heterogeneity in macrolide resistance rates using the A2063G mutation data across Russian regions
Investigate patterns of bacterial co-infections, such as H. influenzae and S. pneumoniae prevalence, relative to MP-positive samples
Perform phylogenetic analysis on mgpA gene sequences to classify P1 type 1 versus type 2 clades
Correlate viral co-infection status, including RSV and RV, with patient outcomes or MP detection rates
Model the association between specific point mutations (A2064G, A2064C) and regional antibiotic resistance profiles
Strengths
Data is derived from 482 patient nasopharyngeal swab samples analyzed with multiple diagnostic methods
Includes genetic sequencing results for complete mgpA, 23S, parC, parE, gyrA, and gyrB genes
Provides co-infection rates for specific pathogens: 27.8% bacterial, with H. influenzae at 19.7% and S. pneumoniae at 13.1%
Reports a clear macrolide resistance rate of 23% linked to the A2063G mutation and details on rarer point mutations
Limitations
Limited to 482 samples, which may constrain statistical power for subgroup or rare mutation analysis
Geographic coverage is within Russia only, limiting generalizability to other populations
Sample size for ELISA confirmation (75 serum samples) is smaller than the main PCR cohort
Provenance
Source
Elena V. Korneenko via figshare
Collection Method
Molecular genetic surveillance using real-time PCR, high-throughput sequencing of specific genes, and ELISA serology
Time Range
January 2024 to June 2025
Freshness
Covers January 2024 to June 2025; last updated March 2026.
Geography
Various regions of the Russian Federation
Dataset is provided as a single 836.6 KB XLSX file; column names and structure are not specified in the input. License is CC BY 4.0.