Evidence map›Paper›PMID 39820522›Full record

ArticleScientific reports2025

Identification of Legionella by MALDI Biotyper through three preparation methods and an in-house library comparing phylogenetic and hierarchical cluster results.

Luna Girolamini, Paolo Caiazza, Federica Marino, Maria Rosaria Pascale, Laura Caligaris, Simona Spiteri, Carlo Derelitto, Maria Luisa Simone, Antonella Grottola, Sandra Cristino

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Draft genomes of 53Microbiology resource announcements · 2026
    Article
  2. Community-AcquiredPathogens (Basel, Switzerland) · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Luna Girolamini *Department of Biological, Geological, and Environmental Sciences, University of Bologna, Bologna, Italy.
Paolo Caiazza *Department of Biological, Geological, and Environmental Sciences, University of Bologna, Bologna, Italy.
Federica MarinoDepartment of Biological, Geological, and Environmental Sciences, University of Bologna, Bologna, Italy.
Maria Rosaria PascaleDepartment of Biological, Geological, and Environmental Sciences, University of Bologna, Bologna, Italy.
Laura CaligarisDepartment of Biological, Geological, and Environmental Sciences, University of Bologna, Bologna, Italy.
Simona SpiteriDepartment of Biological, Geological, and Environmental Sciences, University of Bologna, Bologna, Italy.
Carlo DerelittoDepartment of Biological, Geological, and Environmental Sciences, University of Bologna, Bologna, Italy.
Maria Luisa SimoneDepartment of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Antonella GrottolaRegional Reference Laboratory for Clinical Diagnosis of Legionellosis, Unit of Microbiology and Virology, Modena University Hospital, Modena, Italy.
Sandra CristinoDepartment of Biological, Geological, and Environmental Sciences, University of Bologna, Bologna, Italy. sandra.cristino@unibo.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification and typing of bacteria are very expensive and time-consuming due to their growth times, and the expertise needed. MALDI-TOF MS represents a fast technique, reproducible with molecular approaches. This technique is still poorly applied in Legionella surveillance with estimation occurring only at the genus level. The aim of this study was to compare three sample preparation methods: direct smear (DS), extended direct smear (EDS), and full extraction (E), using MALDI Biotyper, developing an in-house library. Moreover, Hierarchical cluster analysis (HCA) was compared to mip and rpoB gene sequencing. The dataset was composed of 104 isolates belonging to six Legionella species. The isolates were identified with a sensitivity of 97.11% for DS, 98.08% for EDS, and 95.19% for E. The error rates were 2.88% for DS, 1.92% for EDS, and 4.90% for E, with no significant differences among them. The HCA confirmed the relationship among the isolates reported in the phylogenetic trees. An improvement in sensitivity was obtained using an in-house library. The results suggest the use of a fast and inexpensive DS method, combined with instrument and in-house library for routine Legionella surveillance. HCA analysis could be useful for screening isolates, before undertaking expensive and time-laborious molecular techniques.

Indexed as

Bacterial Typing TechniquesLegionellaPhylogenySpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationCluster AnalysisHumansAgglutination testHierarchical cluster analysis (HCA)Legionella spp.MALDI-TOF MSmip gene sequencingrpoB gene sequencing

Identifiers

PMID39820522
PMCPMC11739463

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