Evidence map›Paper›PMID 38698383›Full record

ArticleBMC veterinary research2024

Development of a prototypic, field-usable diagnostic tool for the detection of gram-positive cocci-induced mastitis in cattle.

Anna Dobrut, Jakub Skibiński, Adrian Bekier, Kamil Drożdż, Karolina Rudnicka, Przemysław Płociński, Izabela Siemińska, Monika Brzychczy-Włoch

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC veterinary research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Anna DobrutDepartment of Molecular Medical Microbiology, Chair of Microbiology, Jagiellonian University Medical College, Krakow, Poland. anna.dobrut@uj.edu.pl.
Jakub SkibińskiBioMedChem Doctoral School of University of Lodz and Lodz Institutes of The Polish Academy of Sciences, University of Lodz, Lodz, Poland.
Adrian BekierDepartment of Immunology and Allergy, Chair of Pulmonology, Rheumatology and Clinical Immunology, Medical University of Lodz, Lodz, Poland.
Kamil DrożdżDepartment of Molecular Medical Microbiology, Chair of Microbiology, Jagiellonian University Medical College, Krakow, Poland.
Karolina RudnickaDepartment of Immunology and Infectious Biology, Faculty of Biology and Environmental Protection, University of Lodz, Lodz, Poland. karolina.rudnicka@biol.uni.lodz.pl.
Przemysław PłocińskiDepartment of Immunology and Infectious Biology, Faculty of Biology and Environmental Protection, University of Lodz, Lodz, Poland.
Izabela SiemińskaInstitute of Veterinary Sciences, University Center of Veterinary Medicine JU-AU, University of Agriculture in Krakow, Krakow, Poland.
Monika Brzychczy-WłochDepartment of Molecular Medical Microbiology, Chair of Microbiology, Jagiellonian University Medical College, Krakow, Poland.

Funding

Narodowe Centrum Badań i Rozwoju LIDER/9/0029/L-10/18/NCBR/2019
6 · The paper itself

Abstract

backgroundBovine mastitis is one of the most widespread diseases affecting cattle, leading to significant losses for the dairy industry. Currently, the so-called gold standard in mastitis diagnosis involves determining the somatic cell count (SCC). Apart from a number of advantages, this method has one serious flaw: It does not identify the etiological factor causing a particular infection, making it impossible to introduce targeted antimicrobial therapy. This can contribute to multidrug-resistance in bacterial species. The diagnostic market lacks a test that has the advantages of SCC and also recognizes the species of pathogen causing the inflammation. Therefore, the aim of our study was to develop a lateral flow immunoassay (LFIA) based on elongation factor Tu for identifying most prevalent Gram-positive cocci responsible for causing mastitis including Streptococcus uberis, Streptococcus agalactiae and Staphylococcus aureus.

resultsAs a result, we showed that the assay for S. uberis detection demonstrated a specificity of 89.02%, a sensitivity of 43.59%, and an accuracy of 80.3%. In turn, the second variant - assay for Gram-positive cocci reached a specificity of 95.59%, a sensitivity of 43.28%, and an accuracy of 78.33%.

conclusionsOur study shows that EF-Tu is a promising target for LFIA and we have delivered evidence that further evaluation could improve test parameters and fill the gap in the mastitis diagnostics market.

Indexed as

Mastitis, BovineStreptococcusStreptococcus agalactiaeAnimalsCattleFemaleGram-Positive CocciImmunoassayMilkSensitivity and SpecificityStaphylococcal InfectionsStaphylococcus aureusStreptococcal InfectionsBovine mastitisElongation factor TuLateral flow immunoassayStaphylococcus aureusStreptococcus agalactiaeStreptococcus uberis

Identifiers

PMID38698383
PMCPMC11064325

What Socratic 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 Socratic graph.