Gene chips to discern ventilator-associated pneumonia from other illness

Using gene chip technology, School of Medicine scientists demonstrate for the first time that they can distinguish pneumonia associated with ventilator use from other serious illnesses. The research, published Feb. 13 in the journal Public Library of Science One, suggests that the method may lead to early, more accurate detection and treatment of ventilator-associated pneumonia.

The team analyzed patterns of expression in more than 8,000 genes as patients on mechanical ventilators developed and recovered from pneumonia. They found that changes in the activity of 85 genes could pinpoint early activation of the immune system in response to pneumonia, typically several days before clinical signs of the infection developed. By adding computational tools to their genomic analysis, the researchers also showed they could objectively monitor patients’ recovery by graphing changes over time.

“This is an important step toward the development of a specific molecular test for diagnosing infection — in particular pneumonia — and predicting patients’ recovery,” said J. Perren Cobb, M.D., director of the University’s Center for Critical Illness and Health Engineering and an intensivist at Barnes-Jewish Hospital. “If we could determine which patients are destined to develop pneumonia based on early changes in the activity of genes that regulate immune response, we could give them antibiotics sooner, with the hope that we might be able to prevent or curtail the infection.”

As one of the more common and deadly hospital-acquired infections, ventilator-associated pneumonia has recently become a target for both quality-improvement and patient-safety efforts. Up to 30 percent of patients on a ventilator develop pneumonia, statistics show, increasing length of stay, the risk of death and the amount of each patient’s hospital bill.

Scientists have tried unsuccessfully for years to identify a single marker or a suite of markers that could diagnose infection in intensive care units. While both fever and an elevated white blood cell count often indicate an infection in healthy individuals, the same symptoms are widespread in ICU patients, where they are linked to a range of underlying conditions, including trauma, shock, organ failure and surgical complications. Diagnosis of infection is even more complicated in patients on a ventilator because they are sedated, and the breathing tube prevents them from talking.

The study took Cobb and his colleagues from the laboratory bench to patients’ bedsides as they refined their method to diagnose pneumonia. Initially, they used the gene chip technology in mice to identify 219 genes whose patterns of expression could distinguish pneumonia from widespread inflammation, another common condition in intensive care units.

The patterns of gene expression in mice also could differentiate between gram-negative bacteria (Pseudomonas), a common type responsible for ventilator-associated pneumonia, and gram-positive bacteria (Streptococcus), a frequent cause of pneumonia in a community setting.

The researchers then moved to the ICU to determine whether the activity of the equivalent human genes could differentiate between pneumonia and inflammation in patients breathing with the assistance of ventilators. They narrowed their focus to 11 of 20 patients who developed pneumonia more than two days after having a breathing tube inserted. These patients had blood samples drawn at 48-hour intervals to determine whether changes in gene expression could monitor patients’ response to treatment and their recovery.

The researchers found alterations in the activity of 85 genes some 24-72 hours before diagnosis of pneumonia by the physician attending in the ICU.

“This suggests that we could start patients on antibiotics earlier, say at the first change in these genomic vital signs, and we likely could significantly improve their ability to recover from pneumonia,” Cobb said.

The scientists confirmed the ability of their genomic analysis to diagnose infection and monitor recovery in a second small group of seven patients on mechanical ventilators.