Evidence map›Paper›PMID 30961537›Full record

ArticleBMC microbiology2019

Next-generation sequencing for hypothesis-free genomic detection of invasive tropical infections in poly-microbially contaminated, formalin-fixed, paraffin-embedded tissue samples - a proof-of-principle assessment.

Hagen Frickmann, Carsten Künne, Ralf Matthias Hagen, Andreas Podbielski, Jana Normann, Sven Poppert, Mario Looso, Bernd Kreikemeyer

Abstract read
In one paragraph

Article in BMC microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
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  4. Review
  5. Article
  6. Article
  7. Metagenomic Sequencing for the Diagnosis ofInternational journal of molecular sciences · 2022
    Article
  8. Article
  9. Article
  10. Identification ofJournal of fungi (Basel, Switzerland) · 2021
    Article
  11. Review
  12. Review
  13. Review
  14. 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

8 authors.

Hagen FrickmannDepartment of Microbiology and Hospital Hygiene, Bundeswehr Hospital Hamburg, Bernhard-Nocht Str. 74, 20359, Hamburg, Germany. Frickmann@bnitm.de.ORCID 0000-0002-8967-9528
Carsten KünneDepartment of Bioinformatics, Max-Planck Institute for Heart and Lung Research Bad Nauheim, Parkstraße 1, 61231, Bad Nauheim, Germany.
Ralf Matthias HagenDepartment of Preventive Medicine, Bundeswehr Medical Academy, Neuherbergstraße 11, 80937, Munich, Germany.
Andreas PodbielskiInstitute for Microbiology, Virology and Hygiene, University Medicine Rostock, Schillingallee 70, 18057, Rostock, Germany.
Jana NormannInstitute for Microbiology, Virology and Hygiene, University Medicine Rostock, Schillingallee 70, 18057, Rostock, Germany.
Sven PoppertSwiss Tropical and Public Health Institute, Socinstrasse 57, 4051, Basel, Switzerland.
Mario LoosoDepartment of Bioinformatics, Max-Planck Institute for Heart and Lung Research Bad Nauheim, Parkstraße 1, 61231, Bad Nauheim, Germany.
Bernd KreikemeyerInstitute for Microbiology, Virology and Hygiene, University Medicine Rostock, Schillingallee 70, 18057, Rostock, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe potential of next-generation sequencing (NGS) for hypothesis-free pathogen diagnosis from (poly-)microbially contaminated, formalin-fixed, paraffin embedded tissue samples from patients with invasive fungal infections and amebiasis was investigated. Samples from patients with chromoblastomycosis (n = 3), coccidioidomycosis (n = 2), histoplasmosis (n = 4), histoplasmosis or cryptococcosis with poor histological discriminability (n = 1), mucormycosis (n = 2), mycetoma (n = 3), rhinosporidiosis (n = 2), and invasive Entamoeba histolytica infections (n = 6) were analyzed by NGS (each one Illumina v3 run per sample). To discriminate contamination from putative infections in NGS analysis, mean and standard deviation of the number of specific sequence fragments (paired reads) were determined and compared in all samples examined for the pathogens in question.

resultsFor matches between NGS results and histological diagnoses, a percentage of species-specific reads greater than the 4th standard deviation above the mean value of all 23 assessed sample materials was required. Potentially etiologically relevant pathogens could be identified by NGS in 5 out of 17 samples of patients with invasive mycoses and in 1 out of 6 samples of patients with amebiasis.

conclusionsThe use of NGS for hypothesis-free pathogen diagnosis from contamination-prone formalin-fixed, paraffin-embedded tissue requires further standardization.

Indexed as

High-Throughput Nucleotide SequencingAmebiasisCoinfectionEntamoeba histolyticaFormaldehydeFungiGenomicsHumansInvasive Fungal InfectionsParaffin EmbeddingProof of Concept StudySequence Analysis, DNATissue FixationFormaldehydeFFPE, formalin-fixed, paraffin-embedded samplesHypothesis-free diagnosis of infectionInvasive amebiasisInvasive fungal infectionsMetagenomeMolecular diagnosticsNext-generation sequencingNGSTropical infectious diseases

Identifiers

PMID30961537
PMCPMC6454699

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.