In silico and in vitro analyses for the improved diagnosis of bacterial meningitis

<i>SodC, cfb, SP2020</i>, and <i>dmsA</i> have the potential to enhance the accuracy of molecular diagnostics for the four most common bacterial species causing meningitis. Moreover, a combined <i>in silico</i> and <i>in vitro</i> approach that leverages WGS deposited in databases such as PubMLST, offers an efficient and cost-effective means for the preliminary evaluation of diagnostic targets.

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Publication Details

Journal
Frontiers in Microbiology
Published
2025-09-26
DOI
https://doi.org/10.3389/fmicb.2025.1655490
Citations
2
Primary Topic
Bacterial Infections and Vaccines
Type
article
Field-Weighted Citation Impact
2.37

Funders

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article

In silico and in vitro analyses for the improved diagnosis of bacterial meningitis

Rosângela Assis Jacques, Kanny Diallo, Hansini Mandal, Adeniyi Kolade Aderoba et al.
2 citations
Frontiers in Microbiology
Bacterial Infections and Vaccines
2.37
article

In silico and in vitro analyses for the improved diagnosis of bacterial meningitis

Rosângela Assis Jacques, Kanny Diallo, Hansini Mandal, Adeniyi Kolade Aderoba, Vitalis Fambombi Feteh, Odile B. Harrison, Naima Nasir, Keith A. Jolley, James E. Bray, Grace Wezi Mzumara, Martin Maiden, Jeremie Kolotioloman Tuo, Simon T L Amoikon
article en
2 citations

Abstract

<i>SodC, cfb, SP2020</i>, and <i>dmsA</i> have the potential to enhance the accuracy of molecular diagnostics for the four most common bacterial species causing meningitis. Moreover, a combined <i>in silico</i> and <i>in vitro</i> approach that leverages WGS deposited in databases such as PubMLST, offers an efficient and cost-effective means for the preliminary evaluation of diagnostic targets.

Frontiers in MicrobiologyVol. 16
University of Oxford (GB), Swiss Centre for Scientific Research (CI), Institut National Polytechnique Félix Houphouët-Boigny (CI), Institut National de Santé Publique (CI)
Wellcome Trust, National Institute for Health and Care Research, Department of Health and Social Care
Openalex Percentile: Top 10%
Bacterial Infections and Vaccines
2.37
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In silico and in vitro analyses for the improved diagnosis of bacterial meningitis — Rosângela Assis Jacques, Kanny Diallo, et al. · Frontiers in Microbiology (2025) | TGRS Research Map | TGRS