Evidence map›Paper›PMID 38376378›Full record

ArticleMicrobial genomics2024

Exploring the effects of antimicrobial treatment on the gut and oral microbiomes and resistomes from elderly long-term care facility residents via shotgun DNA sequencing.

Norikazu Kitamura, Toshiki Kajihara, Camila Gazolla Volpiano, Myo Naung, Guillaume Méric, Aki Hirabayashi, Hirokazu Yano, Masaya Yamamoto, Fumiaki Yoshida, Tsunesaburo Kobayashi and 6 more

Open access · goldAbstract read
In one paragraph

Article in Microbial genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. 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

16 authors at 4 institutions in 2 countries.

Norikazu KitamuraAntimicrobial Resistance Research Center, National Institute of Infectious Diseases, Tokyo, Japan.
Toshiki KajiharaAntimicrobial Resistance Research Center, National Institute of Infectious Diseases, Tokyo, Japan.
Camila Gazolla VolpianoCambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Myo NaungCambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Guillaume MéricCambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Aki HirabayashiAntimicrobial Resistance Research Center, National Institute of Infectious Diseases, Tokyo, Japan.
Hirokazu YanoAntimicrobial Resistance Research Center, National Institute of Infectious Diseases, Tokyo, Japan.
Masaya YamamotoSaiseikai Matsuyama Nigitatsuen Geriatric Health Service Facility, Ehime, Japan.
Fumiaki YoshidaYutoriro Geriatric Health Service Facility, Hokkaido, Japan.
Tsunesaburo KobayashiGracegarden Geriatric Health Service Facility, Miyagi, Japan.
Sari YamanashiUraraen Geriatric Health Service Facility, Fukushima, Japan.
Tadao KawamuraYoukouen Geriatric Health Service Facility, Oita, Japan.
Nobuaki MatsunagaAMR Clinical Reference Center, National Center for Global Health and Medicine, Tokyo, Japan.
Jiro OkochiTatsumanosato Geriatric Health Service Facility, Osaka, Japan.
Motoyuki SugaiAntimicrobial Resistance Research Center, National Institute of Infectious Diseases, Tokyo, Japan.
Koji YaharaAntimicrobial Resistance Research Center, National Institute of Infectious Diseases, Tokyo, Japan.
National Institute of Infectious Diseases · JPBaker Heart and Diabetes Institute · AUNational Center for Global Health and Medicine · JPSaiseikai Matsuyama Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring antibiotic-resistant bacteria (ARB) and understanding the effects of antimicrobial drugs on the human microbiome and resistome are crucial for public health. However, no study has investigated the association between antimicrobial treatment and the microbiome-resistome relationship in long-term care facilities, where residents act as reservoirs of ARB but are not included in the national surveillance for ARB. We conducted shotgun metagenome sequencing of oral and stool samples from long-term care facility residents and explored the effects of antimicrobial treatment on the human microbiome and resistome using two types of comparisons: cross-sectional comparisons based on antimicrobial treatment history in the past 6 months and within-subject comparisons between stool samples before, during and 2-4 weeks after treatment using a single antimicrobial drug. Cross-sectional analysis revealed two characteristics in the group with a history of antimicrobial treatment: the archaeon

Indexed as

Anti-Infective AgentsMicrobiotaAgedAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsCross-Sectional StudiesDNAHumansLong-Term CareSequence Analysis, DNAAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsAnti-Infective AgentsDNAantibioticsantimicrobial resistancelong-term care facilitiesmicrobiomemicrobiotashotgun metagenomics

Identifiers

PMID38376378
PMCPMC10926694
OpenAlexW4391983336

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.