{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T16:18:09Z","timestamp":1791303489764,"version":"4.1.0"},"reference-count":36,"publisher":"American Society for Microbiology","issue":"11","license":[{"start":{"date-parts":[[2016,10,24]],"date-time":"2016-10-24T00:00:00Z","timestamp":1477267200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2016,11,1]],"date-time":"2016-11-01T00:00:00Z","timestamp":1477958400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.asm.org\/non-commercial-tdm-license"}],"funder":[{"name":"bioMerieux"},{"name":"European Community's Seventh Framework Program","award":["HEALTH-F2-2010-260338-ALLFUN"],"award-info":[{"award-number":["HEALTH-F2-2010-260338-ALLFUN"]}]},{"name":"Fonds d'Aide \u00e0 l'Emergence et \u00e0 l'Excellence du CHRU de Lille-Bonus H"}],"content-domain":{"domain":["journals.asm.org"],"crossmark-restriction":true},"short-container-title":["J Clin Microbiol"],"published-print":{"date-parts":[[2016,11]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n          <jats:p>\n            We recently developed a mass spectrometry (MS) procedure based on the detection of a serum disaccharide (MS-DS) in patients with invasive candidiasis (IC). Here, we compare the performance of MS-DS for the diagnosis of IC, invasive aspergillosis (IA), and mucormycosis (MM) with those of commercially available antigen detection tests. This retrospective study included 48 patients (23 IC patients [74 serum samples], 15 IA patients [40 serum samples], and 10 MM patients [15 serum samples]) and 49 appropriate controls (102 serum samples). MS-DS, mannan (Mnn), galactomannan (GM), and (1,3)-\u03b2-\n            <jats:sc>d<\/jats:sc>\n            -glucan (BDG) were detected by matrix-assisted laser desorption ionization\u2013time of flight (MALDI-TOF) MS, Platelia, and Fungitell assays, respectively. For IC, the sensitivity and specificity of the MS-DS index, BDG detection, and Mnn detection were 62% and 84%, 82% and 60%, and 33% and 94% per serum sample and 83% and 69%, 96% and 31%, and 39% and 86% per patient, respectively. For IA, the corresponding values in comparison to BDG and GM detection were 83% and 81%, 62% and 95%, and 62% and 100% per serum sample and 93% and 76%, 87% and 90%, and 93% and 100% per patient, respectively. Nine of the 10 MM patients had a positive MS-DS result. MS-DS gave an early diagnosis in IC (73% positivity before blood culture), IA (positive before GM detection in six patients), and MM (positivity mainly preceded the date of diagnosis) patients. For IC, persisting MS-DS was associated with a poor prognosis. The different biomarkers were rarely detected simultaneously, suggesting different kinetics of release and clearance. For IA, MS-DS provided better complementation to GM monitoring than BDG monitoring. MS-DS detects panfungal molecules circulating during invasive fungal infections. The performance of MS-DS compared favorably with those of biological tests currently recommended for monitoring at-risk patients. Further validation of this test in multicenter studies is required.\n          <\/jats:p>","DOI":"10.1128\/jcm.01655-16","type":"journal-article","created":{"date-parts":[[2016,9,8]],"date-time":"2016-09-08T02:28:56Z","timestamp":1473301736000},"page":"2786-2797","update-policy":"https:\/\/doi.org\/10.1128\/asmj-crossmark-policy-page","source":"Crossref","is-referenced-by-count":39,"title":["Application of Mass Spectrometry Technology to Early Diagnosis of Invasive Fungal Infections"],"prefix":"10.1128","volume":"54","author":[{"given":"Alexandre","family":"Mery","sequence":"first","affiliation":[{"name":"SATT Nord-de-France, Lille, France"},{"name":"Universit\u00e9 Lille, CNRS, UMR 8576-UGSF-Unit\u00e9 de Glycobiologie Structurale et Fonctionnelle, Lille, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Boualem","family":"Sendid","sequence":"additional","affiliation":[{"name":"CHU Lille, Service de Parasitologie-Mycologie, Lille, France"},{"name":"Universit\u00e9 Lille, U995-LIRIC-Lille Inflammation Research International Centre, Lille, France"},{"name":"INSERM, U995-Team 2, Lille, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nadine","family":"Fran\u00e7ois","sequence":"additional","affiliation":[{"name":"CHU Lille, Service de Parasitologie-Mycologie, Lille, France"},{"name":"Universit\u00e9 Lille, U995-LIRIC-Lille Inflammation Research International Centre, Lille, France"},{"name":"INSERM, U995-Team 2, Lille, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marjorie","family":"Cornu","sequence":"additional","affiliation":[{"name":"CHU Lille, Service de Parasitologie-Mycologie, Lille, France"},{"name":"Universit\u00e9 Lille, U995-LIRIC-Lille Inflammation Research International Centre, Lille, France"},{"name":"INSERM, U995-Team 2, Lille, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julien","family":"Poissy","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Lille, U995-LIRIC-Lille Inflammation Research International Centre, Lille, France"},{"name":"INSERM, U995-Team 2, Lille, France"},{"name":"CHU Lille, P\u00f4le de R\u00e9animation, Lille, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yann","family":"Guerardel","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Lille, CNRS, UMR 8576-UGSF-Unit\u00e9 de Glycobiologie Structurale et Fonctionnelle, Lille, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel","family":"Poulain","sequence":"additional","affiliation":[{"name":"CHU Lille, Service de Parasitologie-Mycologie, Lille, France"},{"name":"Universit\u00e9 Lille, U995-LIRIC-Lille Inflammation Research International Centre, Lille, France"},{"name":"INSERM, U995-Team 2, Lille, France"},{"name":"CHU Lille, D\u00e9l\u00e9gation \u00e0 la Recherche Clinique et \u00e0 l'Innovation, Lille, 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