Inflammatory markers limitations in the diagnosis of pediatric calcaneal osteomyelitis

Ingersoll, Jared; Halliday, Megan; Adams, Daniel J.; Auten, Jonathan D.; Ponce, Daphne Morrison

doi:10.1016/j.ajem.2019.158416

Cited by 8 publications

(3 citation statements)

References 12 publications

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“… 33 However, conventional X‐ray and MRI examinations are limitations by a low positivity rate and time lag, while CRP and ESR are recognized as nonspecific indicators of OM. 34 , 35 Furthermore, the selection of imaging techniques for OM diagnosis is also influenced by various factors such as infection location, presence of metal implants, infection duration, antibiotic usage, and complications. 36 Therefore, an urgent need for a novel diagnostic approach is recognized to address these challenges.…”

Section: Discussionmentioning

confidence: 99%

“…Early detection is recognized as paramount for better outcomes in OM patients, as delays can lead to severe complications, including deformities and sepsis 33 . However, conventional X‐ray and MRI examinations are limitations by a low positivity rate and time lag, while CRP and ESR are recognized as nonspecific indicators of OM 34,35 . Furthermore, the selection of imaging techniques for OM diagnosis is also influenced by various factors such as infection location, presence of metal implants, infection duration, antibiotic usage, and complications 36 .…”

Section: Discussionmentioning

confidence: 99%

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Integrative gene expression analysis and animal model reveal immune‐ and autophagy‐related biomarkers in osteomyelitis

Shi,

Li,

et al. 2024

Immunity Inflam & Disease

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BackgroundOsteomyelitis (OM) is recognized as a significant challenge in orthopedics due to its complex immune and inflammatory responses. The prognosis heavily depends on timely diagnosis, accurate classification, and assessment of severity. Thus, the identification of diagnostic and classification‐related genes from an immunological standpoint is crucial for the early detection and tailored treatment of OM.MethodsTranscriptomic data for OM was sourced from the Gene Expression Omnibus (GEO) database, leading to the identification of autophagy‐ and immune‐related differentially expressed genes (AIR‐DEGs) through differential expression analysis. Diagnostic and classification models were subsequently developed. The CIBERSORT algorithm was utilized to examine immune cell infiltration in OM, and the relationship between OM clusters and various immune cells was explored. Key AIR‐DEGs were further validated through the creation of OM animal models.ResultsAnalysis of the transcriptomic data revealed three AIR‐DEGs that played a significant role in immune responses and pathways. Nomogram and receiver operating characteristic curve analyses were performed, demonstrating excellent diagnostic capability for differentiating between OM patients and healthy individuals, with an area under the curve of 0.814. An unsupervised clustering analysis discerned two unique patterns of autophagy‐ and immune‐related genes, as well as gene patterns. Further exploration into immune infiltration exhibited notable variances across different subtypes, especially between OM cluster 1 and gene cluster A, highlighting their potential role in mitigating inflammatory responses by regulating immune activities. Moreover, the mRNA and protein expression levels of three AIR‐DEGs in the animal model were aligned with those in the training and validation data sets.ConclusionsFrom an immunological perspective, a diagnostic model was successfully developed, and two distinct clustering patterns were identified. These contributions offer a significant resource for the early detection and personalized immunotherapy of patients with OM.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Integrative gene expression analysis and animal model reveal immune‐ and autophagy‐related biomarkers in osteomyelitis

Shi,

Li,

et al. 2024

Immunity Inflam & Disease

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“…This genus had higher relative abundance at lower sampling heights. On the other hand, members of the Kingella genus such as K. kingae are considered to be pathogenic to humans, for example--causing debilitating conditions such as osteomyelitis and septic arthritis, particularly in children (Kiang et al 2005;Nguyen et al 2018;Ingersoll et al 2019). These findings warrant further research because, if consistent across time and space, the spatial and compositional differences in microbiota have the potential to be important considerations for public health through the modulation of exposure.…”

Section: Relative Abundances and Notable Taxamentioning

confidence: 99%

Vertical Stratification in Urban Green Space Aerobiomes

Robinson

Cando‐Dumancela

Liddicoat

et al. 2020

Environ Health Perspect

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BACKGROUND: Exposure to a diverse environmental microbiome is thought to play an important role in "educating" the immune system and facilitating competitive exclusion of pathogens to maintain human health. Vegetation and soil are key sources of airborne microbiota-the aerobiome. A limited number of studies have attempted to characterize the dynamics of near surface green space aerobiomes, and no studies to date have investigated these dynamics from a vertical perspective. Vertical stratification in the aerobiome could have important implications for public health and for the design, engineering, and management of urban green spaces. OBJECTIVES: The primary objectives of this study were to: a) assess whether significant vertical stratification in bacterial species richness and evenness (alpha diversity) of the aerobiome occurred in a parkland habitat in Adelaide, South Australia; b) assess whether significant compositional differences (beta diversity) between sampling heights occurred; and c) to preliminarily assess whether there were significant altitudinal differences in potentially pathogenic and beneficial bacterial taxa. METHODS: We combined an innovative columnar sampling method at soil level, 0.0, 0.5, 1.0, and 2:0 m, using passive petri dish sampling to collect airborne bacteria. We used a geographic information system (GIS) to select study sites, and we used high-throughput sequencing of the bacterial 16S rRNA gene to assess whether significant vertical stratification of the aerobiome occurred. RESULTS: Our results provide evidence of vertical stratification in both alpha and beta (compositional) diversity of airborne bacterial communities, with diversity decreasing roughly with height. We also found significant vertical stratification in potentially pathogenic and beneficial bacterial taxa. DISCUSSION: Although additional research is needed, our preliminary findings point to potentially different exposure attributes that may be contingent on human height and activity type. Our results lay the foundations for further research into the vertical characteristics of urban green space aerobiomes and their implications for public health and urban planning.

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