Evidence mapPaperPMID 39355267Full record

ArticleFrontiers in cellular and infection microbiology2024

Gut microbiota and metabolomic profile changes play critical roles in tacrolimus-induced diabetes in rats.

Zhenwei Jiang, Minyan Qian, Zeng Zhen, Xuping Yang, Caomei Xu, Li'an Zuo, Jingting Jiang, Wenting Zhang, Nan Hu

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2024. 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
field-weighted citation impact
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.

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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

9 authors.

Zhenwei JiangDepartment of Pharmacy, The Third Affiliated Hospital of Soochow University/The First People's Hospital of Changzhou, Changzhou, China.
Minyan QianDepartment of Pharmacy, The Third Affiliated Hospital of Soochow University/The First People's Hospital of Changzhou, Changzhou, China.
Zeng ZhenChangzhou Key Laboratory of Human Use Experience Research & Transformation of Menghe Medical School, Changzhou Hospital Affiliated to Nanjing University of Chinese Medicine, Changzhou, China.
Xuping YangDepartment of Pharmacy, The Third Affiliated Hospital of Soochow University/The First People's Hospital of Changzhou, Changzhou, China.
Caomei XuDepartment of Pharmacy, The Third Affiliated Hospital of Soochow University/The First People's Hospital of Changzhou, Changzhou, China.
Li'an ZuoDepartment of Pharmacy, The Third Affiliated Hospital of Soochow University/The First People's Hospital of Changzhou, Changzhou, China.
Jingting JiangDepartment of Tumor Biological Treatment, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Wenting ZhangDepartment of Tumor Biological Treatment, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Nan HuDepartment of Pharmacy, The Third Affiliated Hospital of Soochow University/The First People's Hospital of Changzhou, Changzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Hyperglycemia is one of the adverse effects of tacrolimus (TAC), but the underlying mechanism is not fully identified. We used multi-omics analysis to evaluate the changes in the gut microbiota and metabolic profile of rats with TAC-induced diabetes. Methods: To establish a diabetic animal model, Sprague Dawley rats were divided randomly into two groups. Those in the TAC group received intraperitoneal injections of TAC (3 mg/kg) for 8 weeks, and those in the CON group served as the control. 16S rRNA sequencing was used to analyze fecal microbiota. The metabolites of the two groups were detected and analyzed by nontargeted and targeted metabolomics, including amino acids (AAs), bile acids (BAs), and short-chain fatty acids (SCFAs). Results: The rats treated with TAC exhibited hyperglycemia as well as changes in the gut microbiota and metabolites. Specifically, their gut microbiota had significantly higher abundances of Conclusions: Both AAs and BAs may play crucial roles as signaling molecules in the regulation of TAC-induced diabetes.

Indexed as

Amino AcidsFecesGastrointestinal MicrobiomeMetabolomicsRats, Sprague-DawleyRNA, Ribosomal, 16STacrolimusAnimalsBacteriaBile Acids and SaltsBlood GlucoseDiabetes Mellitus, ExperimentalDisease Models, AnimalFatty Acids, VolatileHyperglycemiaImmunosuppressive AgentsAmino AcidsBile Acids and SaltsBlood GlucoseFatty Acids, VolatileImmunosuppressive AgentsRNA, Ribosomal, 16STacrolimusamino acidsbile acidsdiabetesgut microbiotametabolomicsshort chain fatty acidstacrolimus

Identifiers

PMID39355267
PMCPMC11442430

What Socratic holds

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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 Socratic graph.