Evidence map›Paper›PMID 38284894›Full record

ArticleAging2024

Gut microbial community and fecal metabolomic signatures in different types of osteoporosis animal models.

Xiaochen Qiao, Xiaoyan Li, Zhichao Wang, Yi Feng, Xiaochun Wei, Lu Li, Yongchun Pan, Kun Zhang, Ruhao Zhou, Lei Yan and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Gut microbiome and bone health: update on mechanisms, clinical correlations, and possible treatment strategies.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025
    Pooled it
  2. Review
  3. Review
  4. Article
  5. Frontiers in microbiology · 2025
    Review
  6. Article
  7. Article
  8. Article
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

14 authors at 4 institutions in 1 country.

Xiaochen QiaoSecond Clinical Medical College, Shanxi Medical University, Taiyuan 030001, Shanxi, P.R. China.
Xiaoyan LiShanxi Province Cancer Hospital, Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences, Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan 030013, Shanxi, P.R. China.
Zhichao WangThird Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan 030032, Shanxi, China.
Yi FengSecond Clinical Medical College, Shanxi Medical University, Taiyuan 030001, Shanxi, P.R. China.
Xiaochun WeiSecond Clinical Medical College, Shanxi Medical University, Taiyuan 030001, Shanxi, P.R. China.
Lu LiSecond Clinical Medical College, Shanxi Medical University, Taiyuan 030001, Shanxi, P.R. China.
Yongchun PanDepartment of Orthopedics, Third People’s Hospital of Datong City, Datong 037006, Shanxi, P.R. China.
Kun ZhangSecond Clinical Medical College, Shanxi Medical University, Taiyuan 030001, Shanxi, P.R. China.
Ruhao ZhouSecond Clinical Medical College, Shanxi Medical University, Taiyuan 030001, Shanxi, P.R. China.
Lei YanSecond Clinical Medical College, Shanxi Medical University, Taiyuan 030001, Shanxi, P.R. China.
Pengcui LiSecond Clinical Medical College, Shanxi Medical University, Taiyuan 030001, Shanxi, P.R. China.
Chaojian XuSecond Clinical Medical College, Shanxi Medical University, Taiyuan 030001, Shanxi, P.R. China.
Zhi LvSecond Clinical Medical College, Shanxi Medical University, Taiyuan 030001, Shanxi, P.R. China.
Zhi TianSecond Clinical Medical College, Shanxi Medical University, Taiyuan 030001, Shanxi, P.R. China.
Second Hospital of Shanxi Medical University · CNShanxi Medical University · CNShanxi Academy of Medical Sciences · CNShanxi Datong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe gut microbiota (GM) constitutes a critical factor in the maintenance of physiological homeostasis. Numerous studies have empirically demonstrated that the GM is closely associated with the onset and progression of osteoporosis (OP). Nevertheless, the characteristics of the GM and its metabolites related to different forms of OP are poorly understood. In the present study, we examined the changes in the GM and its metabolites associated with various types of OP as well as the correlations among them.

methodsWe simultaneously established rat postmenopausal, disuse-induced, and glucocorticoid-induced OP models. We used micro-CT and histological analyses to observe bone microstructure, three-point bending tests to measure bone strength, and enzyme-linked immunosorbent assay (ELISA) to evaluate the biochemical markers of bone turnover in the three rat OP models and the control. We applied 16s rDNA to analyze GM abundance and employed untargeted metabolomics to identify fecal metabolites in all four treatment groups. We implemented multi-omics methods to explore the relationships among OP, the GM, and its metabolites.

resultsThe 16S rDNA sequencing revealed that both the abundance and alterations of the GM significantly differed among the OP groups. In the postmenopausal OP model, the bacterial genera g__Bacteroidetes_unclassified, g__Firmicutes_unclassified, and g__Eggerthella had changed. In the disuse-induced and glucocorticoid-induced OP models, g__Akkermansia and g__Rothia changed, respectively. Untargeted metabolomics disclosed that the GM-derived metabolites significantly differed among the OP types. However, a Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis showed that it was mainly metabolites implicated in lipid and amino acid metabolism that were altered in all cases. An association analysis indicated that the histidine metabolism intermediate 4-(β-acetylaminoethyl) imidazole was common to all OP forms and was strongly correlated with all bone metabolism-related bacterial genera. Hence, 4-(β-acetylaminoethyl) imidazole might play a vital role in OP onset and progression.

conclusionsThe present work revealed the alterations in the GM and its metabolites that are associated with OP. It also disclosed the changes in the GM that are characteristic of each type of OP. Future research should endeavor to determine the causal and regulatory effects of the GM and the metabolites typical of each form of OP.

Indexed as

MicrobiotaOsteoporosisAnimalsDNA, RibosomalGlucocorticoidsImidazolesRatsDNA, RibosomalGlucocorticoidsImidazoles16S rDNA sequencinganimal modelgut microbiotametabolomicsosteoporosis

Identifiers

PMID38284894
PMCPMC10866450
OpenAlexW4391251468

What OpenQuestion holds

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LicenceCC BY
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.