Survival of Staphylococcus epidermidis in Fibroblasts and Osteoblasts

Kimberly Perez1, Robin Patel2,3

  • 1Department of Immunology, Mayo Clinic, Rochester, Minnesota, USA.

Infection and Immunity
|August 1, 2018
PubMed

Insights

Staphylococcus epidermidis evades immune killing by persisting inside host cells. These bacteria use acidic phagolysosomes as reservoirs, leading to delayed prosthetic joint infections.

Area of Science:

  • Microbiology
  • Immunology
  • Cell Biology

Background:

  • Staphylococcus epidermidis is a primary cause of medical device-related infections, particularly prosthetic joint infections.
  • Biofilm formation is the widely accepted mechanism for chronic S. epidermidis infections.
  • The role of immune evasion in S. epidermidis pathogenesis remains less understood.

Purpose of the Study:

  • To investigate the hypothesis that S. epidermidis evades immune killing to contribute to pathogenesis.
  • To explore the intracellular survival mechanisms of S. epidermidis in host cells relevant to prosthetic joint infections.
  • To identify potential reservoirs for chronic or delayed S. epidermidis infections.

Main Methods:

  • In vitro infection models using human fibroblasts and osteoblasts (human and mouse).
  • Intracellular survival assays and characterization of bacterial location within host cells.
  • Analysis of bacterial variants (small-colony variants) selected during intracellular persistence.
  • Assessment of bacterial escape from host cells and subsequent biofilm formation.

Main Results:

  • Prosthetic joint-associated S. epidermidis isolates demonstrated intracellular persistence within human fibroblasts and osteoblasts.
  • Intracellular bacteria were primarily found within acidic phagolysosomes.
  • Small-colony variants of S. epidermidis were selected during intracellular survival.
  • Escaped bacteria from dead host cells initiated delayed biofilm formation on implant surfaces.

Conclusions:

  • Acidic phagolysosomes within fibroblasts and osteoblasts act as critical reservoirs for S. epidermidis.
  • Intracellular persistence and subsequent host cell escape contribute to the chronicity and delayed onset of S. epidermidis prosthetic joint infections.
  • Immune evasion through intracellular survival is a significant pathogenic mechanism for S. epidermidis.

Related Concept Videos

Survival Curves01:18

Survival Curves

Survival curves are graphical representations that depict the survival experience of a population over time, offering an intuitive way to track the proportion of individuals who remain event-free at each time point. These curves are widely used in fields such as medicine, public health, and reliability engineering to visualize and compare survival probabilities across different groups or conditions.
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
721
Survival Tree01:19

Survival Tree

Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
433
Introduction to Fibroblasts01:09

Introduction to Fibroblasts

Rudolph Virchow discovered spindle-shaped cells called fibroblasts in 1858. Inactive fibroblasts, called fibrocytes, become activated by various stimuli, such as growth factors and inflammatory cytokines. Activated fibroblasts play a crucial role in wound healing, inflammation, formation of new blood vessels, and cancer progression. Uncontrolled activation of fibroblasts results in fibrosis, the excess deposition of fibrous tissue, which can lead to scarring and affect normal organs. This...
4.0K
Introduction To Survival Analysis01:18

Introduction To Survival Analysis

Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
798
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
605
Truncation in Survival Analysis01:09

Truncation in Survival Analysis

Truncation in survival analysis refers to the exclusion of individuals or events from the dataset based on specific criteria related to the time of the event. This exclusion can happen in two primary forms: left truncation and right truncation.
Left truncation occurs when individuals who experienced the event of interest before a certain time are not included in the study. This is often due to a "delayed entry" into the study where only those who survive until a certain entry point are...
622