Abnormal vaginal discharge may be caused by bacterial vaginosis, vulvovaginal candidiasis, trichomoniasis and/or aerobic vaginitis. For the development of a diagnostic algorithm, tree-based... Show moreAbnormal vaginal discharge may be caused by bacterial vaginosis, vulvovaginal candidiasis, trichomoniasis and/or aerobic vaginitis. For the development of a diagnostic algorithm, tree-based classification analysis was performed on symptoms, signs and bedside test results of 56 patients, and laboratory tests (culture, Nugent score, qPCRs) were compared. Amplicon sequencing of the 16S rRNA gene was used as reference test for bacterial vaginosis and aerobic vaginitis, culture for vulvovaginal candidiasis and qPCR for trichomoniasis. For bacterial vaginosis, the best diagnostic algorithm was to screen at the bedside with a pH and odour test and if positive, to confirm by qPCR (sensitivity 94%; specificity 97%) rather than Nugent score (sensitivity of 59%; specificity 97%; P = 0.031). The analysis for the other infections was less conclusive due to the low num -ber of patients with these infections. For bacterial vaginosis, the developed algorithm is sensitive, specific, and reduces the need for laboratory tests in 50% of the patients. (c) 2021 Elsevier Inc. All rights reserved. Show less
Bacterial vaginosis (BV) is perceived as a condition of disrupted vaginal microbiota, but remains of unknown aetiology. In this study, vaginal microbiota composition was determined in twenty-one... Show moreBacterial vaginosis (BV) is perceived as a condition of disrupted vaginal microbiota, but remains of unknown aetiology. In this study, vaginal microbiota composition was determined in twenty-one women with BV, before and after treatment with metronidazole or clindamycin. Microbiota composition varied greatly between women and defining a (un)healthy vaginal microbiota state remains elusive, challenging BV diagnosis and treatment. While relative abundance ofLactobacillusincreased after antibiotic treatment in two-third of women, its abundance was not associated with treatment outcome. Instead, remaining complaints of abnormal vaginal discharge were more common after metronidazole treatment and associated with increased relative abundance ofUreaplasma. Show less
Munckhof, E.H.A. van den; Hafkamp, H.C.; Kluijver, J. de; Kuijper, E.J.; Koning, M.N.C. de; Quint, W.G.V.; Knetsch, C.W. 2020
BackgroundThe elderly (>= 65years) are one of the populations most at risk for respiratory tract infections (RTIs). The aim of this study was to determine whether nasal and/or oropharyngeal... Show moreBackgroundThe elderly (>= 65years) are one of the populations most at risk for respiratory tract infections (RTIs). The aim of this study was to determine whether nasal and/or oropharyngeal microbiota profiles are associated with age and RTIs.MethodsNasal and oropharyngeal swabs of 152 controls and 152 patients with an RTI were included. The latter group consisted of 72 patients with an upper respiratory tract infection (URTI) and 80 with a lower respiratory tract infection (LRTI). Both nasal and oropharyngeal swabs were subjected to microbiota profiling using amplicon sequencing of the 16S rRNA gene. Moraxella species were determined using quantitative real-time PCR and culture.ResultsBased on the microbiota profiles of the controls and the patients with an RTI, eight nasal and nine oropharyngeal microbiota clusters were defined. Nasal microbiota dominated by either Moraxella catarrhalis or Moraxella nonliquefaciens was significantly more prevalent in elderly compared to mid-aged adults in the control group (p=0.002). Dominance by M. catarrhalis/nonliquefaciens was significantly less prevalent in elderly with an LRTI (p=0.001) compared to controls with similar age.ConclusionsNasal microbiota dominated by M. catarrhalis/nonliquefaciens is associated with respiratory health in the elderly population. Show less
Munckhof, E.H.A. van den; Niemeyer-Van der Kolk, T.; Wall, H.E.C. van der; Alewijk, D.C.J.G. van; Doorn, M.B.A. van; Burggraaf, J.; ... ; Rissmann, R. 2020
The introduction of standardized matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) platforms in the medical microbiological practice has revolutionized the... Show moreThe introduction of standardized matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) platforms in the medical microbiological practice has revolutionized the way microbial species identification is performed on a daily basis. To a large extent, this is due to the ease of operation. Acquired spectra are compared to profiles obtained from cultured colonies present in a reference spectra database. It is fast and reliable, and costs are low compared to previous diagnostic approaches. However, the low resolution and dynamic range of the discrimination of different bacterial strains, as achieved with MALDI-TOF profiles have shown limited applicability for the typing based on genetic markers. This is pivotal in cases where certain strains are associated with, e.g., virulence or antibiotic resistance. Ultrahigh resolution MALDI-FTICR MS allows the measurement of small proteins at isotopic resolution and can be used to analyze complex mixtures with increased dynamic range and higher precision than MALDI-TOF MS, while still generating results in a similar time frame. Here, we propose to use ultrahigh resolution 15T MALDI-Fourier transform ion cyclotron resonance (FTICR) MS to discriminate clinically relevant bacterial strains after species identification performed by MALDI-TOF MS. We used a collection of well characterized Pseudomonas aeruginosa strains, featuring distinct antibiotic resistance profiles, and isolates obtained during hospital outbreaks. Following cluster analysis based on amplification fragment length polymorphism (AFLP), these strains were grouped into three different clusters. The same clusters were obtained using protein profiles generated by MALDI-FTICR MS. Subsequent intact protein analysis by electrospray ionization (ESI)-collision-induced dissociation (CID)-FTICR MS was applied to identify protein isoforms that contribute to the separation of the different clusters, illustrating the additional advantage of this analytical platform. Show less
Fawley, W.N.; Knetsch, C.W.; MacCannell, D.R.; Harmanus, C.; T. du; Mulvey, M.R.; ... ; Wilcox, M.H. 2015
