New Methods Enhance Diagnosis of Bone Infections
Advanced techniques reveal hidden bacteria in osteomyelitis cases.
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Table of Contents
Infections can occur when bacteria invade the body. One type of infection affects the bones, known as Osteomyelitis (OM). Diagnosing and treating this condition can be tricky. A common method to find out how much bacteria is inside infected cells is to count the colonies they form on plates after breaking open those cells. However, this counting method can give different results based on several factors, such as the type of cells and bacteria involved.
Staphylococcus bacteria, particularly Staphylococcus aureus, are common culprits in adult osteomyelitis. This study used a specific type of bone cell model to mimic how these bacteria infect bone cells. Two strains of Staphylococcus aureus were tested: one that is highly virulent and resistant to antibiotics, and another that is weaker and sensitive to antibiotics. Researchers used both colony counting and a special DNA measurement method to get a better picture of how many bacteria were present inside the infected cells.
Methods Used
The researchers prepared the bone-like cells and the bacteria in a controlled lab environment. They infected the bone cells with the bacteria and then collected samples over a period of time. Different methods were used to measure bacterial presence. The traditional method involved breaking open the infected cells and counting the number of colonies on a plate, while a newer method counted DNA copies of the bacteria directly from the samples.
The DNA measurement method, known as digital droplet PCR (DdPCR), allows for precise counting of DNA without needing a standard curve, making the process simpler and quicker. A special lysis buffer was used to extract DNA from the samples without the usual cleanup steps that typically take more time.
Findings from the In Vitro Study
The research found that the DNA measurement method revealed a higher number of bacterial copies compared to traditional colony counting. Over several days, the number of bacterial colonies on plates dropped significantly. However, using the DNA method, the researchers discovered that for the highly virulent strain, the number of DNA copies remained stable, indicating that the bacteria were surviving inside the cells even when fewer colonies were counted.
In contrast, the less virulent strain showed a decrease in DNA counts over time, suggesting that these bacteria were not as successful at surviving inside the cells. The researchers also looked at the human cells that were infected to determine if they were still alive. With the lower amounts of bacteria, the health of the human cells appeared to be similar to non-infected controls. But with higher levels of bacteria, the human cells showed a decline in health.
The results highlighted a significant difference between the two methods. Colony counting can often underestimate the true number of bacteria present in an infection, especially in the case of bacteria adapting to the harsh conditions inside host cells.
Application to Human Cases
Researchers then wanted to see if these findings applied to real human cases. They looked at three patients with suspected bone infections who had negative results when tested by traditional culture methods. The bone tissue samples taken from these patients showed evidence of infection through special staining techniques that indicated tissue damage.
Using the same direct DNA extraction and ddPCR methods from their lab experiments, researchers determined that all three patients had bacterial DNA present, even though routine culture methods had failed to identify the bacteria.
The identity of the bacteria was confirmed through sequencing of the DNA, found to be various species of staphylococci. This showed that the new methods could reveal infections that were missed by traditional culture techniques.
Conclusion
The study demonstrated that the standard method of counting bacterial colonies can miss significant amounts of bacteria in bone infections. By using direct DNA extraction and advanced counting methods, researchers were able to obtain more accurate measurements of bacterial presence in both laboratory experiments and human cases.
This approach not only speeds up the process but also minimizes sample loss, which is crucial for getting reliable results. Moreover, the ability to sequence bacterial DNA directly from samples provides a valuable tool for identifying what specific bacteria are causing infections, which could lead to better treatment options.
The findings point to the need for adopting newer techniques in clinical settings to improve the diagnosis and treatment strategies for infections like osteomyelitis. This could potentially change how doctors handle these infections, offering faster and more accurate methods for diagnosing patients and determining the best course of treatment.
Overall, the advancement of these techniques presents an opportunity for significant improvements in managing bacterial infections that can be challenging to detect with conventional methods. The integration of rapid DNA analysis and sequencing could enhance the ability to diagnose, track, and treat infections effectively in clinical practice.
Title: Beyond the Colony-Forming-Unit: Rapid Bacterial Evaluation in Osteomyelitis
Abstract: Examination of bacteria/host cell interactions is important for understanding the aetiology of many infectious diseases. The colony-forming-unit (CFU) has been the standard for quantifying bacterial burden for the past century, however, this suffers from low sensitivity and is dependent on bacterial culturability in vitro. Our data demonstrate the discrepancy between the CFU and bacterial genome copy number in an osteomyelitis-relevant co-culture system and we confirm diagnosis and quantify bacterial load in clinical bone specimens. This study provides an improved workflow for the quantification of bacterial burden in such cases.
Authors: Dongqing Yang, Q. Sun, K. Huynh, D. Muratovic, N. J. Gunn, A. R. Zelmer, L. B. Solomon, G. J. Atkins
Last Update: 2024-02-22 00:00:00
Language: English
Source URL: https://www.biorxiv.org/content/10.1101/2023.11.21.568051
Source PDF: https://www.biorxiv.org/content/10.1101/2023.11.21.568051.full.pdf
Licence: https://creativecommons.org/licenses/by/4.0/
Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.
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