Evidence map›Paper›PMID 33511441›Full record

ArticleApplied microbiology and biotechnology2021

The effect of different combinations of antibiotic cocktails on mice and selection of animal models for further microbiota research.

Jing Xu, Hao-Ming Xu, Yao Peng, Chong Zhao, Hai-Lan Zhao, Wenqi Huang, Hong-Li Huang, Jie He, Yan-Lei Du, Yong-Jian Zhou and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Applied microbiology and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

15 citing papers in PubMed, 44 citations in OpenAlex.

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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

12 authors at 1 institution in 1 country.

Jing Xu *Department of Gastroenterology and Hepatology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, No. 1 Panfu Road, Guangzhou, 510180, Guangdong, China.
Hao-Ming Xu *Department of Gastroenterology and Hepatology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, No. 1 Panfu Road, Guangzhou, 510180, Guangdong, China.
Yao PengDepartment of Gastroenterology and Hepatology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, No. 1 Panfu Road, Guangzhou, 510180, Guangdong, China.
Chong ZhaoDepartment of Gastroenterology and Hepatology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, No. 1 Panfu Road, Guangzhou, 510180, Guangdong, China.
Hai-Lan ZhaoDepartment of Gastroenterology and Hepatology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, No. 1 Panfu Road, Guangzhou, 510180, Guangdong, China.
Wenqi HuangDepartment of Gastroenterology and Hepatology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, No. 1 Panfu Road, Guangzhou, 510180, Guangdong, China.
Hong-Li HuangDepartment of Gastroenterology and Hepatology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, No. 1 Panfu Road, Guangzhou, 510180, Guangdong, China.
Jie HeDepartment of Gastroenterology and Hepatology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, No. 1 Panfu Road, Guangzhou, 510180, Guangdong, China.
Yan-Lei DuDepartment of Gastroenterology and Hepatology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, No. 1 Panfu Road, Guangzhou, 510180, Guangdong, China.
Yong-Jian ZhouDepartment of Gastroenterology and Hepatology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, No. 1 Panfu Road, Guangzhou, 510180, Guangdong, China.
You-Lian ZhouDepartment of Gastroenterology and Hepatology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, No. 1 Panfu Road, Guangzhou, 510180, Guangdong, China. eyyoulianzhou@scut.edu.cn.
Yu-Qiang NieDepartment of Gastroenterology and Hepatology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, No. 1 Panfu Road, Guangzhou, 510180, Guangdong, China. eynieyuqiang@scut.edu.cn.ORCID http://orcid.org/0000-0001-7037-5340
Guangzhou First People's Hospital · CN

Funding

Guangdong Medical Science and Technology Research Fund A2019243Guangzhou Planned Project of Science and Technology 202002020012Guangzhou Planned Project of Science and Technology 202002030288Guangzhou Planned Project of Science and Technology 202002030293Innovative Clinical Technique of Guangzhou 2019GX05National Natural Science Foundation of China 81700487National Natural Science Foundation of China 81871905
6 · The paper itself

Abstract

The gut microbiota is closely related to host health and disease. However, there are no suitable animal models available at present for exploring its functions. We analyzed the effect of 3 different antibiotic cocktails (ABx) via two administration routes on the composition of murine gut microbiota, as well as on the general physiological and metabolic indices. High-throughput 16S rRNA sequencing showed that ABx treatment altered the gut microbiota community structure, and also caused low-degree inflammation in the colon. In addition, ad libitum administration of antibiotics depleted the gut microbiota more effectively compared to direct oral gavage, especially with 3ABx. The ABx treatment also had a significant impact on renal and liver functions, as indicated by the altered serum levels of creatinine, urea, total triglycerides, and total cholesterol. Finally, Spearman's correlation analysis showed that the predominant bacterial genera resulting from ABx intervention, including Lactobacillus, Roseburia, and Candidatus-Saccharimonas, were negatively correlated with renal function indices. Taken together, different antibiotic combinations and interventions deplete the gut microbiota and induce physiological changes in the host. Our findings provide the basis for developing an adaptive animal model for studying gut microbiota. KEY POINTS: • Ad libitum administration of 3ABx can effectively deplete intestinal microbiota. • ABx treatment may have slight effect on renal and liver function. • The levels of urea and creatinine correlated with the growth of Roseburia.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaAnimalsAnti-Bacterial AgentsLactobacillusMiceRNA, Ribosomal, 16SAnti-Bacterial AgentsRNA, Ribosomal, 16SAntibiotic cocktails (ABx)Germ-free miceGut microbiotaRenal function

Identifiers

PMID33511441
OpenAlexW3125291951

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.