Evidence map›Paper›PMID 28124778›Full record

ArticleJournal of microbiology (Seoul, Korea)2017

Rapid MALDI biotyper-based identification and cluster analysis of Streptococcus iniae.

Si Won Kim, Seong Won Nho, Se Pyeong Im, Jung Seok Lee, Jae Wook Jung, Jassy Mary S Lazarte, Jaesung Kim, Woo-Jai Lee, Jeong-Ho Lee, Tae Sung Jung

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in Journal of microbiology (Seoul, Korea), 2017. 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 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

5 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Automatic Identification of MALDI-TOF MS Database Using ClassicalComputational and mathematical methods in medicine · 2022
    Article
  3. Article
  4. Article
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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

10 authors at 3 institutions in 2 countries.

Si Won KimLaboratory of Aquatic Animal Diseases, Institute of Animal Medicine, College of Veterinary Medicine, Gyeongsang National University, Jinju, 52828, Republic of Korea.
Seong Won NhoDivision of Microbiology, National Center for Toxicological Research/FDA, Jefferson, Arkansas, USA.
Se Pyeong ImLaboratory of Aquatic Animal Diseases, Institute of Animal Medicine, College of Veterinary Medicine, Gyeongsang National University, Jinju, 52828, Republic of Korea.
Jung Seok LeeLaboratory of Aquatic Animal Diseases, Institute of Animal Medicine, College of Veterinary Medicine, Gyeongsang National University, Jinju, 52828, Republic of Korea.
Jae Wook JungLaboratory of Aquatic Animal Diseases, Institute of Animal Medicine, College of Veterinary Medicine, Gyeongsang National University, Jinju, 52828, Republic of Korea.
Jassy Mary S LazarteLaboratory of Aquatic Animal Diseases, Institute of Animal Medicine, College of Veterinary Medicine, Gyeongsang National University, Jinju, 52828, Republic of Korea.
Jaesung KimLaboratory of Aquatic Animal Diseases, Institute of Animal Medicine, College of Veterinary Medicine, Gyeongsang National University, Jinju, 52828, Republic of Korea.
Woo-Jai LeeBluGen Korea, Busan, 48071, Republic of Korea.
Jeong-Ho LeeInland Aquaculture Research Center, NIFS, Changwon, 51695, Republic of Korea.
Tae Sung JungLaboratory of Aquatic Animal Diseases, Institute of Animal Medicine, College of Veterinary Medicine, Gyeongsang National University, Jinju, 52828, Republic of Korea. jungts@gnu.ac.kr.
Gyeongsang National University · KRInsilicogen (South Korea) · KRNational Center for Toxicological Research · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Streptococcus iniae causes severe mortalities among cultured marine species, especially in the olive flounder (Paralichthys olivaceus), which is economically important in Korea and Japan. Recently, there has been growing concern regarding the emergence of S. iniae as a zoonotic pathogen. Here, 89 S. iniae isolates obtained from diseased olive flounders collected from 2003 to 2008 in Jeju Island, South Korea, were characterized using matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS). The results were aligned both with the available Bruker Daltonics data-base and with a new set of S. iniae data entries developed in our laboratory, and the results were compared. When we used the Bruker Daltonics database, the 89 isolates yielded either "no reliable identification" or were incorrectly identified as Streptococcus pyogenes at the genus level. When we used the new data entries from our laboratory, in contrast, all of the isolates were correctly identified as S. iniae at the genus (100%) and species (96.6%) levels. We performed proteomic analysis, divided the 89 isolates into cluster I (51.7%), cluster II (20.2%), and cluster III (28.1%), and then used the MALDI Biotyper software to identify specific mass peaks that enabled discrimination between clusters and between Streptococcus species. Our results suggest that the use of MALDI TOF MS could outperform the conventional methods, proving easier, faster, cheaper and more efficient in properly identifying S. iniae. This strategy could facilitate the epidemiological and taxonomical study of this important fish pathogen.

Indexed as

AnimalsBacteriological TechniquesCluster AnalysisCosts and Cost AnalysisFish DiseasesFlounderJapanKoreaRepublic of KoreaSensitivity and SpecificitySpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationStreptococcal InfectionsStreptococcus iniaeTime FactorsVeterinary MedicinedatabaseMALDI TOF MSolive flounderParalichthys olivaceusStreptococcus iniae

Identifiers

PMID28124778
OpenAlexW2580886718

What OpenQuestion holds

Textmetadata
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.