Evidence map›Paper›PMID 36352470›Full record

ArticleBMC veterinary research2022

Antibiotic-resistant status and pathogenic clonal complex of canine Streptococcus canis-associated deep pyoderma.

Ichiro Imanishi, Keita Iyori, Akira Také, Ryota Asahina, Manami Tsunoi, Ryuji Hirano, Jumpei Uchiyama, Yoichi Toyoda, Yoshihiko Sakaguchi, Shunji Hayashi

Open access · goldAbstract read
In one paragraph

Article in BMC veterinary research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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  3. Genomic analysis ofFrontiers in veterinary science · 2025
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  4. Seven draft genome sequences ofMicrobiology resource announcements · 2024
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  5. Two episodes of bacteremia of zoonotic origin caused by different Streptococcus canis isolates in the same patient within a time span of 1 year.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024
    Article
  6. 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

10 authors at 5 institutions in 1 country.

Ichiro ImanishiDepartment of Microbiology, Kitasato University School of Medicine, 1-15-1 Kitasato, Minami-ku, Sagamihara-shi, Kanagawa, Japan. ichiro.lasalle@gmail.com.ORCID http://orcid.org/0000-0002-4292-5533
Keita IyoriDermatological and Laboratory Service for Animals, Vet Derm Tokyo, 910 Shobusawa, Fujisawa, Kanagawa, 252-0823, Japan.
Akira TakéDepartment of Microbiology, Kitasato University School of Medicine, 1-15-1 Kitasato, Minami-ku, Sagamihara-shi, Kanagawa, Japan.
Ryota AsahinaDepartment of Dermatology, Graduate School of Medicine, Kyoto University, 54 Shogoin-Kawahara-cho, Sakyo-ku, Kyoto, 6068501, Japan.
Manami TsunoiDermatological and Laboratory Service for Animals, Vet Derm Tokyo, 910 Shobusawa, Fujisawa, Kanagawa, 252-0823, Japan.
Ryuji HiranoKyoto Animal Medical Center, 550-4 Bishamon-cho, Nakagyo-ku, Kyoto, 6040984, Japan.
Jumpei UchiyamaDepartment of Bacteriology, Graduate School of Medicine Dentistry and Pharmaceutical Sciences, 1-1-1, Tsushima-naka, Kita-ku, Okayama University, Okayama, 7008530, Japan.
Yoichi ToyodaDermatological and Laboratory Service for Animals, Vet Derm Tokyo, 910 Shobusawa, Fujisawa, Kanagawa, 252-0823, Japan.
Yoshihiko SakaguchiDepartment of Microbiology, Kitasato University School of Medicine, 1-15-1 Kitasato, Minami-ku, Sagamihara-shi, Kanagawa, Japan.
Shunji HayashiDepartment of Microbiology, Kitasato University School of Medicine, 1-15-1 Kitasato, Minami-ku, Sagamihara-shi, Kanagawa, Japan.
Kitasato University · JPJikei University School of Medicine · JPKyoto Medical Center · JPKyoto University · JPOkayama University · JP

Funding

Japan Science Society 21K14976
6 · The paper itself

Abstract

backgroundStreptococcus canis causes deep pyoderma in canines, which raises concerns about the risk of isolates from lesions acquiring an antibiotic-resistant phenotype. It is necessary to identify effective antibiotics and the characteristics of the pathogenic cluster for S. canis-associated deep pyoderma.

resultsThe signalment, molecular typing, and antibiotic-resistant status of S. canis isolated from deep pyoderma lesions (27 strains) and oral cavities (26 strains) were analyzed. Older dogs tended to have S. canis-associated deep pyoderma (15 of 27 dogs over 10 years old). Veterinarians chose quinolones for 10/16 cases (63%), even though the rate of quinolone-resistant strains of S. canis is 38-59%. Although 70% of the strains showed resistance to three or more antibiotic classes (37/53), 94% (50/53) strains showed sensitivity for penicillins. We also identified β-lactamase activity among penicillin-resistant strains of S. canis. Clonal complex 13 (CC13) was detected only in lesions and formed independent clusters in the phylogenetic tree. One strain of CC13 was resistant to the anti-methicillin-resistant Staphylococcus aureus drugs, vancomycin and linezolid.

conclusionAlthough antibiotic-resistant strains of S. canis are isolated at a high rate, they can currently be treated with β-lactamase-inhibiting penicillins. CC13 may be a pathogenic cluster with high levels of antibiotics resistance.

Indexed as

Dog DiseasesMethicillin-Resistant Staphylococcus aureusPyodermaStaphylococcal InfectionsAnimalsAnti-Bacterial Agentsbeta-LactamasesDogsMicrobial Sensitivity TestsPenicillinsPhylogenyStreptococcusAnti-Bacterial Agentsbeta-LactamasesPenicillinsAntibiotic resistanceBeta-lactamaseDogsMultilocus sequence typingOpportunistic infectionsOral cavityPyodermaStreptococcus

Identifiers

PMID36352470
PMCPMC9644607
OpenAlexW4308731719

What OpenQuestion holds

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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.