Evidence map›Paper›PMID 37074200›Full record

ArticleMicrobiology spectrum2023

Antibiotic Conditioning Shapes Pseudosterile Mouse Models by Deleting Colonic Microbes Rather than Small Intestinal Microbes.

Qingxue Chen, Xinming Ma, Zhishuang Xing, Xin Zhao, Hang Zu, Zengwang Guo, Bailiang Li

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Regulatory effect ofJournal of advanced veterinary and animal research · 2026
    Article
  3. 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

7 authors at 1 institution in 1 country.

Qingxue ChenKey Laboratory of Dairy Science, Ministry of Education, Northeast Agricultural University, Harbin, China.
Xinming MaKey Laboratory of Dairy Science, Ministry of Education, Northeast Agricultural University, Harbin, China.
Zhishuang XingKey Laboratory of Dairy Science, Ministry of Education, Northeast Agricultural University, Harbin, China.
Xin ZhaoCABIO Biotech (Wuhan) Co., Ltd., Wuhan, China.
Hang ZuHeilongjiang Ubayt Dairy Group Co., Ltd., Qiqihaer, China.
Zengwang GuoKey Laboratory of Dairy Science, Ministry of Education, Northeast Agricultural University, Harbin, China.
Bailiang LiKey Laboratory of Dairy Science, Ministry of Education, Northeast Agricultural University, Harbin, China.ORCID 0000-0002-5578-4661
Northeast Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A simple model of alternative microbiota in the developing intestinal environment has been highly desirable for the study of health and disease in the gut. The pattern of antibiotic depletion of natural gut microbes is necessary for this model. However, the effects and loci of antibiotic deletion of gut microbes remain unclear. In this study, a mixture of three proven broad-spectrum antibiotics was selected to study their effects on microbial deletions in the jejunum, ileum, and colon of mice. The 16S rRNA sequencing results showed that antibiotics significantly reduced colonic microbial diversity, with limited effects on the jejunum and ileum. At the level of microbial genera, only 93.38% of

Indexed as

Anti-Bacterial AgentsGastrointestinal MicrobiomeAnimalsColonIntestine, SmallMiceRNA, Ribosomal, 16SAnti-Bacterial AgentsRNA, Ribosomal, 16Santibioticscolondeletion of intestinal microorganismsmouse model

Identifiers

PMID37074200
PMCPMC10269458
OpenAlexW4366351387

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.