A diagnostic classifier for gene expression-based identification of early Lyme disease

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作者
Venice Servellita
Jerome Bouquet
Alison Rebman
Ting Yang
Erik Samayoa
Steve Miller
Mars Stone
Marion Lanteri
Michael Busch
Patrick Tang
Muhammad Morshed
Mark J. Soloski
John Aucott
Charles Y. Chiu
机构
[1] University of California,Department of Laboratory Medicine
[2] Johns Hopkins School of Medicine,Lyme Disease Research Center, Division of Rheumatology, Department of Medicine
[3] Blood Systems Research Institute,Department of Medicine, Division of Infectious Diseases
[4] Sidra Medical and Research Center,undefined
[5] British Columbia Centre for Disease Control,undefined
[6] University of California,undefined
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Lyme disease is a bacterial infection spread by ticks and there are nearly half a million cases a year in the United States. However, the disease is difficult to diagnose and existing laboratory tests have limited accuracy. Here, we develop a new genetic test, described as a Lyme disease classifier (LDC), for diagnosing early Lyme disease from blood samples by assessing the patient’s response to the infection. We find that the LDC can identify early Lyme disease patients (those presenting with symptoms within weeks of a tick bite) accurately, even before standard laboratory tests turn positive. In the future, the LDC may be clinically useful as a test for Lyme disease to diagnose patients earlier in the course of their illness, thus guiding more timely and effective treatment for the infection.
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