{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T19:23:55Z","timestamp":1791228235606,"version":"4.1.0"},"reference-count":37,"publisher":"American Society for Microbiology","issue":"2","license":[{"start":{"date-parts":[[2020,3,17]],"date-time":"2020-03-17T00:00:00Z","timestamp":1584403200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2020,4,28]],"date-time":"2020-04-28T00:00:00Z","timestamp":1588032000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.asm.org\/non-commercial-tdm-license"}],"funder":[{"DOI":"10.13039\/100000002","name":"HHS | National Institutes of Health","doi-asserted-by":"publisher","award":["AI45801"],"award-info":[{"award-number":["AI45801"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000030","name":"HHS | Centers for Disease Control and Prevention","doi-asserted-by":"publisher","award":["U01CI000160"],"award-info":[{"award-number":["U01CI000160"]}],"id":[{"id":"10.13039\/100000030","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000030","name":"HHS | Centers for Disease Control and Prevention","doi-asserted-by":"publisher","award":["U01CK000153"],"award-info":[{"award-number":["U01CK000153"]}],"id":[{"id":"10.13039\/100000030","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.asm.org"],"crossmark-restriction":true},"short-container-title":["mBio"],"published-print":{"date-parts":[[2020,4,28]]},"abstract":"<jats:p>\n            Lyme disease (LD), caused by\n            <jats:named-content content-type=\"genus-species\">Borrelia burgdorferi<\/jats:named-content>\n            , is the most common tick-borne infectious disease in the United States. We examined gene expression patterns in the blood of individuals with early disseminated LD at the time of diagnosis (acute) and also at approximately 1\u2009month and 6\u2009months following antibiotic treatment. A distinct acute LD profile was observed that was sustained during early convalescence (1\u2009month) but returned to control levels 6 months after treatment. Using a computer learning algorithm, we identified sets of 20 classifier genes that discriminate LD from other bacterial and viral infections. In addition, these novel LD biomarkers are highly accurate in distinguishing patients with acute LD from healthy subjects and in discriminating between individuals with active and resolved infection. This computational approach offers the potential for more accurate diagnosis of early disseminated Lyme disease. It may also allow improved monitoring of treatment efficacy and disease resolution.\n          <\/jats:p>","DOI":"10.1128\/mbio.00047-20","type":"journal-article","created":{"date-parts":[[2020,3,16]],"date-time":"2020-03-16T12:01:10Z","timestamp":1584360070000},"update-policy":"https:\/\/doi.org\/10.1128\/asmj-crossmark-policy-page","source":"Crossref","is-referenced-by-count":29,"title":["Global Transcriptome Analysis Identifies a Diagnostic Signature for Early Disseminated Lyme Disease and Its Resolution"],"prefix":"10.1128","volume":"11","author":[{"given":"Mary M.","family":"Petzke","sequence":"first","affiliation":[{"name":"Department of Microbiology and Immunology, School of Medicine, New York Medical College, Valhalla, New York, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Konstantin","family":"Volyanskyy","sequence":"additional","affiliation":[{"name":"Phillips Research North America, Valhalla, New York, 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