Evidence map›Paper›PMID 37612665›Full record

ArticleBMC biotechnology2023

Highly multiplexed targeted sequencing strategy for infectious disease surveillance.

Iván Hernández-Neuta, Anastasia Magoulopoulou, Flor Pineiro, Jan Gorm Lisby, Mats Gulberg, Mats Nilsson

Open access · goldAbstract read
In one paragraph

Article in BMC biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Enrichment techniques for clinical metagenomics.Frontiers in cellular and infection microbiology · 2026
    Review
  3. The Portable Microhaplotype Object and Tools.bioRxiv : the preprint server for biology · 2025
    Article
  4. Article
  5. 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

6 authors at 3 institutions in 2 countries.

Iván Hernández-Neuta *Department of Biochemistry and Biophysics, Faculty of Science, Stockholm University, Svante Arrhenius väg 16C, Stockholm, 104 05, Sweden.
Anastasia Magoulopoulou *Department of Biochemistry and Biophysics, Faculty of Science, Stockholm University, Svante Arrhenius väg 16C, Stockholm, 104 05, Sweden.
Flor PineiroDepartment of Biochemistry and Biophysics, Faculty of Science, Stockholm University, Svante Arrhenius väg 16C, Stockholm, 104 05, Sweden.
Jan Gorm LisbyDepartment of Clinical Microbiology, Amager and Hvidovre Hospital, University of Copenhagen, Kettegaard Alle 30, Hvidovre, 2650, Denmark.
Mats GulbergQ-linea AB, Dag Hammarskjölds Väg 52A, Uppsala, 752 37, Sweden.
Mats NilssonDepartment of Biochemistry and Biophysics, Faculty of Science, Stockholm University, Svante Arrhenius väg 16C, Stockholm, 104 05, Sweden. mats.nilsson@scilifelab.se.
Science for Life Laboratory · SEHvidovre Hospital · DKQ linea (Sweden) · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobal efforts to characterize diseases of poverty are hampered by lack of affordable and comprehensive detection platforms, resulting in suboptimal allocation of health care resources and inefficient disease control. Next generation sequencing (NGS) can provide accurate data and high throughput. However, shotgun and metagenome-based NGS approaches are limited by low concentrations of microbial DNA in clinical samples, requirements for tailored sample and library preparations plus extensive bioinformatics analysis. Here, we adapted molecular inversion probes (MIPs) as a cost-effective target enrichment approach to characterize microbial infections from blood samples using short-read sequencing. We designed a probe panel targeting 2 bacterial genera, 21 bacterial and 6 fungi species and 7 antimicrobial resistance markers (AMRs).

resultsOur approach proved to be highly specific to detect down to 1 in a 1000 pathogen DNA targets contained in host DNA. Additionally, we were able to accurately survey pathogens and AMRs in 20 out of 24 samples previously profiled with routine blood culture for sepsis.

conclusionsOverall, our targeted assay identifies microbial pathogens and AMRs with high specificity at high throughput, without the need for extensive sample preparation or bioinformatics analysis, simplifying its application for characterization and surveillance of infectious diseases in medium- to low- resource settings.

Indexed as

Communicable DiseasesBiological AssayComputational BiologyGene LibraryHigh-Throughput Nucleotide SequencingHumansDiagnosticsDisease surveillanceInfectious diseasesMolecular inversion probes (MIPs)Next generation sequencing (NGS)Pathogen detection

Identifiers

PMID37612665
PMCPMC10463907
OpenAlexW4386099594

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.