Evidence map›Paper›PMID 34381737›Full record

ArticleFrontiers in cellular and infection microbiology2021

Mass Spectrometry Proteotyping-Based Detection and Identification of

Nahid Kondori, Amra Kurtovic, Beatriz Piñeiro-Iglesias, Francisco Salvà-Serra, Daniel Jaén-Luchoro, Björn Andersson, Gelio Alves, Aleksey Ogurtsov, Annika Thorsell, Johannes Fuchs and 6 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

17 citing papers in PubMed, 23 citations in OpenAlex.

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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

16 authors at 4 institutions in 3 countries.

Nahid KondoriDepartment of Infectious Diseases, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Amra KurtovicDepartment of Clinical Microbiology, Sahlgrenska University Hospital, Gothenburg, Sweden.
Beatriz Piñeiro-IglesiasDepartment of Clinical Microbiology, Sahlgrenska University Hospital, Gothenburg, Sweden.
Francisco Salvà-SerraDepartment of Infectious Diseases, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Daniel Jaén-LuchoroDepartment of Infectious Diseases, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Björn AnderssonBioinformatics Core Facility at Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Gelio AlvesNational Center for Biotechnology Information (NCBI), Bethesda, MD, United States.
Aleksey OgurtsovNational Center for Biotechnology Information (NCBI), Bethesda, MD, United States.
Annika ThorsellProteomics Core Facility at Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Johannes FuchsProteomics Core Facility at Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Timur TunovicDepartment of Clinical Microbiology, Sahlgrenska University Hospital, Gothenburg, Sweden.
Nina KamenskaNorra-Älvsborgs-Länssjukhus (NÄL), Trollhättan, Sweden.
Anders KarlssonNanoxis Consulting AB, Gothenburg, Sweden.
Yi-Kuo YuNational Center for Biotechnology Information (NCBI), Bethesda, MD, United States.
Edward R B MooreDepartment of Infectious Diseases, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Roger KarlssonDepartment of Infectious Diseases, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
University of Gothenburg · SESahlgrenska University Hospital · SENational Center for Biotechnology Information · USNorra Älvsborgs Länssjukhus · SE

Funding

Robust Accurate Identification of peptides from tandem mass spectrometry dataZIALM092404 · NLM · NATIONAL LIBRARY OF MEDICINE · PI YU, YI-KUO · 2009 to 2025
$13.2M
6 · The paper itself

Abstract

Bloodstream infections (BSIs), the presence of microorganisms in blood, are potentially serious conditions that can quickly develop into sepsis and life-threatening situations. When assessing proper treatment, rapid diagnosis is the key; besides clinical judgement performed by attending physicians, supporting microbiological tests typically are performed, often requiring microbial isolation and culturing steps, which increases the time required for confirming positive cases of BSI. The additional waiting time forces physicians to prescribe broad-spectrum antibiotics and empirically based treatments, before determining the precise cause of the disease. Thus, alternative and more rapid cultivation-independent methods are needed to improve clinical diagnostics, supporting prompt and accurate treatment and reducing the development of antibiotic resistance. In this study, a culture-independent workflow for pathogen detection and identification in blood samples was developed, using peptide biomarkers and applying bottom-up proteomics analyses, i.e., so-called "proteotyping". To demonstrate the feasibility of detection of blood infectious pathogens, using proteotyping,

Indexed as

BacteremiaStaphylococcal InfectionsCandida albicansEscherichia coliHumansSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationStaphylococcus aureusbacteremiablood-stream infectionsfungemiaMALDI-TOF MSproteomicsproteotypingrapid diagnostics of infectious diseasessepsis

Identifiers

PMID34381737
PMCPMC8350517
OpenAlexW3184601650

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.