Evidence map›Paper›PMID 38536641›Full record

ArticleFolia microbiologica2024

Gut microbiota dynamics in KK-Ay mice: restoration following antibiotic treatment.

Jinni Hong, Tingting Fu, Weizhen Liu, Miao Yu, Yanshan Lin, Cunyun Min, Datao Lin

Abstract read
PubMed Publisher
In one paragraph

Article in Folia microbiologica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Jinni HongDepartment of Traditional Chinese Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China.
Tingting FuDepartment of Traditional Chinese Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China.
Weizhen LiuDepartment of Traditional Chinese Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China.
Miao YuDepartment of Traditional Chinese Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China.
Yanshan LinDepartment of Traditional Chinese Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China.
Cunyun MinDepartment of Traditional Chinese Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China.
Datao LinDepartment of Parasitology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China. lindt5@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0003-1655-8706
Guangdong Academy of Medical Sciences · CNSun Yat-sen University · CN

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2022A1515110655Guangdong Provincial Applied Science and Technology Research and Development Program SL2022A04J00042National Natural Science Foundation of China 82202560National Resource Center for the First-Year Experience and Students in Transition, University of South Carolina NPRC-2019-194-30Natural Science Foundation of Guangdong Province 2021A1515220050Natural Science Foundation of Guangdong Province 2023A1515011458the Science and Technology Projects in Guangzhou 2024A04J4314Traditional Chinese Medicine Bureau of Guangdong Province 20223001Traditional Chinese Medicine Bureau of Guangdong Province 20231003
6 · The paper itself

Abstract

The primary aim of this study was to investigate the alterations in the microbial community of KK-Ay mice following antibiotic treatment. A comparative analysis of the gut microbiota was conducted between KK-Ay mice treated with antibiotics and those without treatment. The microbial community dynamics in antibiotic-treated KK-Ay mice were meticulously assessed over an eight-week period using 16S rDNA sequencing analysis. Simultaneously, dynamic renal function measurements were performed. The results demonstrated a marked decrease in bacterial DNA abundance following antibiotic intervention, coupled with a substantial reduction in bacterial diversity and a profound alteration in microbial composition. These observed microbiota changes persisted in the KK-Ay mice throughout the eight-week post-antibiotic treatment period. Particularly noteworthy was the reemergence of bacterial populations after two weeks or more, resulting in a microbiota composition resembling that of untreated KK-Ay mice. This transition was characterized by a significant increase in the abundance of clostridia at the class level, Lachnospirales and Oscillospirales at the order level, and Lachnospiraceae, Oscillospiraceae, and Ruminococcaceae at the family level. Concurrently, there was a notable decrease in Clostridia_UCG-014. The observed alterations in the gut microbiota of antibiotic-treated KK-Ay mice suggest a dynamic response to antibiotic intervention and subsequent restoration towards the original untreated state.

Indexed as

Anti-Bacterial AgentsBacteriaGastrointestinal MicrobiomeRNA, Ribosomal, 16SAnimalsBiodiversityDNA, BacterialDNA, RibosomalFecesMaleMicePhylogenySequence Analysis, DNAAnti-Bacterial AgentsDNA, BacterialDNA, RibosomalRNA, Ribosomal, 16SAnimal modelAntibiotic-treatedDiabetic nephropathyGut microbiota

Identifiers

PMID38536641
OpenAlexW4393228220

What Socratic 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 Socratic graph.