Evidence map›Paper›PMID 40744840›Full record

ArticleMicrobiology spectrum2025

Absolute quantitative metagenomic analysis reveals unique gut bacteria underlying berberine and metformin's anti-metabolic disorders effects.

Jiaguo Zhan, Bin Cheng, Kangmiao Guo, Xueqing Tao, Xinyan Cai, Zhuoran Li, Zhenhao Tang, Jingke Zhan, Chongming Wu

Abstract read
In one paragraph

Article in Microbiology spectrum, 2025. 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
–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

0 citing papers in PubMed.

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

9 authors.

Jiaguo ZhanSchool of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China.ORCID 0009-0001-3921-1396
Bin ChengSchool of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Kangmiao GuoSchool of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Xueqing TaoSchool of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Xinyan CaiSchool of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Zhuoran LiSchool of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Zhenhao TangSchool of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Jingke ZhanSchool of Nursing, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Chongming WuSchool of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China.ORCID 0000-0003-2898-370X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to evaluate the potential functional bacteria in the efficacy of two drugs in ameliorating diet-induced metabolic disorder model using absolute and relative quantification methods and to evaluate the benefit of absolute quantification compared with relative quantification. The gut microbiota is implicated in the pathogenesis of various chronic diseases, including diet-induced metabolic disorder model. Berberine (BBR) and metformin (MET) are commonly used in the clinical management of metabolic disorder, yet their effects on gut microbiota regulation differ. This study employs both relative and absolute quantitative methods to assess the differential impacts of these drugs on the modulation of gut microbiota in metabolic disorder mice. Both BBR and MET effectively ameliorate the condition of metabolic disorder. While some relative quantitative sequencing results contradicted the absolute sequencing data, the latter was more consistent with the actual microbial community composition. Absolute quantitative sequencing provides a more accurate reflection of the drug's effects. Notably, both absolute and relative quantitative sequencing demonstrated an upregulation of

Indexed as

BacteriaBerberineGastrointestinal MicrobiomeMetabolic DiseasesMetagenomicsMetforminAnimalsDisease Models, AnimalFecesMaleMiceMice, Inbred C57BLBerberineMetforminabsolute quantitative sequencingberberinediet-induced metabolic disordermetforminrelative quantitative sequencing

Identifiers

PMID40744840
PMCPMC12403899

What Socratic holds

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LicenceCC BY
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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.