Evidence map›Paper›PMID 29532421›Full record

ArticleFolia microbiologica2018

Unusual oral mucosal microbiota after hematopoietic cell transplantation with glycopeptide antibiotics: potential association with pathophysiology of oral mucositis.

Misato Muro, Yoshihiko Soga, Tomoko Higuchi, Kota Kataoka, Daisuke Ekuni, Yoshinobu Maeda, Manabu Morita

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Folia microbiologica, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. Observational
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Dental consensus on HSCT - Part II: dental Care during HSCT.Hematology, transfusion and cell therapy
    Review
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

7 authors at 2 institutions in 1 country.

Misato MuroDivision of Hospital Dentistry, Okayama University Hospital, 2-5-1 Shikata-cho, Okayama, 700-8558, Japan.
Yoshihiko SogaDivision of Hospital Dentistry, Okayama University Hospital, 2-5-1 Shikata-cho, Okayama, 700-8558, Japan. y_soga@okayama-u.ac.jp.
Tomoko HiguchiDivision of Hospital Dentistry, Okayama University Hospital, 2-5-1 Shikata-cho, Okayama, 700-8558, Japan.
Kota KataokaDepartment of Preventive Dentistry, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1 Shikata-cho, Okayama, 700-8558, Japan.
Daisuke EkuniDepartment of Preventive Dentistry, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1 Shikata-cho, Okayama, 700-8558, Japan.
Yoshinobu MaedaDepartment of Hematology, Oncology and Respiratory Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1 Shikata-cho, Okayama, 700-8558, Japan.
Manabu MoritaDepartment of Preventive Dentistry, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1 Shikata-cho, Okayama, 700-8558, Japan.
Okayama University · JPOkayama University Hospital · JP

Funding

Japan Society for the Promotion of Science JP26462881Ministry of Education, Culture, Sports, Science and Technology Center of excellence for molecular and gene targeting therapies with micro-dose molecular imaging modalitiesMinistry of Health, Labour and Welfare Designated regional hub hospital promoting hematopoietic stem cell transplantation
6 · The paper itself

Abstract

Severe oral mucositis occurs frequently in patients receiving hematopoietic stem cell transplantation (HCT). Oral mucosal bacteria can be associated with progression of oral mucositis, and systemic infection may occur via ulcerative oral mucositis. However, little information is available regarding the oral microbiota after HCT. Here, PCR-denaturing gradient gel electrophoresis (DGGE) was performed to characterize the oral mucosal microbiota, which can be affected by antibiotics, before and after HCT. Sixty reduced-intensity HCT patients were enrolled. Three patients with the least antibiotic use (quinolone prophylaxis and/or β-lactam monotherapy group) and three patients with the most antibiotic use (β-lactam-glycopeptide combination therapy group) were selected. Bacterial DNA samples obtained from the oral mucosa before and after HCT were subjected to PCR-DGGE. The trajectory of oral mucositis was evaluated. The oral mucosal microbiota in the β-lactam-glycopeptide combination therapy group was different from that in the quinolone prophylaxis and/or β-lactam monotherapy group, and Staphylococcus spp. and Enterococcus spp. were identified. Lautropia mirabilis was dominant in one patient. Ulcerative oral mucositis was observed only in the β-lactam-glycopeptide combination therapy group. In conclusion, especially with the use of strong antibiotics, such as glycopeptides, the oral mucosal microbiota differed completely from that under normal conditions and consisted of Staphylococcus spp., Enterococcus spp., and unexpectedly L. mirabilis. The normal oral microbiota consists not only of bacteria, but these unexpected bacteria could be involved in the pathophysiology as well as systemic infection via oral mucositis. Our results can be used as the basis for future studies in larger patient populations.

Indexed as

AdultAgedAnti-Bacterial Agentsbeta-LactamsDNA, BacterialFemaleGlycopeptidesHematopoietic Stem Cell TransplantationHumansMaleMicrobiotaMiddle AgedMouth MucosaQuinolonesRNA, Ribosomal, 16SStomatitisAnti-Bacterial Agentsbeta-LactamsDNA, BacterialGlycopeptidesQuinolonesRNA, Ribosomal, 16S

Identifiers

PMID29532421
OpenAlexW2793418141

What OpenQuestion holds

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Registered trials

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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.