Evidence map›Paper›PMID 41199947›Full record

ArticleFrontiers in microbiology2025

Characterization of the integrated gut microbiota and metabolite profiles in osteoporosis patients with different traditional Chinese medicine syndromes.

Zixiang Geng, Long Yuan, Dihang See, Yongfang Zhao

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

4 authors.

Zixiang Geng *Shi's Center of Orthopedics and Traumatology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Long Yuan *Shi's Center of Orthopedics and Traumatology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Dihang See *Shi's Center of Orthopedics and Traumatology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yongfang ZhaoShi's Center of Orthopedics and Traumatology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study aims to investigate whether the Traditional Chinese Medicine (TCM) classification of osteoporosis corresponds to specific gut microbial and metabolic profiles, thereby providing a microbiological basis for TCM syndrome differentiation. Methods: Body composition was assessed using dual-energy X-ray absorptiometry in healthy elderly controls and osteoporosis patients categorized by TCM subtype. Gut microbiota composition and metabolite profiles were analyzed via 16S rRNA gene sequencing and liquid chromatography-tandem mass spectrometry (LC-MS/MS), respectively. Results: The gut microbiota dysbiosis index was significantly elevated in osteoporosis patients compared to healthy controls, with the highest levels observed in the spleen-kidney Yang deficiency subtype. Distinct microbial signatures were identified: Conclusion: TCM classification captures meaningful biological heterogeneity in osteoporosis, reflected in distinct microbiome and metabolic signatures. These findings provide a microbiological basis for TCM syndrome differentiation and may inform personalized approaches to osteoporosis diagnosis and treatment.

Indexed as

gut microbiotakidney Yang deficiency syndromeosteoporosisspleen-kidney Yang deficiencytraditional Chinese medicine

Identifiers

PMID41199947
PMCPMC12587299

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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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.