Evidence map›Paper›PMID 37495941›Full record

ArticleBMC microbiology2023

The potential of Klebsiella and Escherichia-Shigella and amino acids metabolism to monitor patients with postmenopausal osteoporosis in northwest China.

Zhuang Liang, Yuqi Hao, Lei Yang, Puwei Yuan, Wulin Kang, Tingting Liang, Bing Gu, Bo Dong

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
3.4field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. 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
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  7. Gut microbiome in early life and bone health outcomes at age 6: a Danish mother-child cohort study.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2025
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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

8 authors at 4 institutions in 1 country.

Zhuang Liang *Department of Rehabilitation Hospital Pain Ward, Xi'an Jiaotong University Affiliated Honghui Hospital, Xi'an, Shaanxi, 710054, China.
Yuqi Hao *Department of Internal Medicine, Ordos Traditional Chinese Medicine Hospital, Ordos, 017000, Inner Mongolia, China.
Lei Yang *Department of Rehabilitation Hospital Pain Ward, Xi'an Jiaotong University Affiliated Honghui Hospital, Xi'an, Shaanxi, 710054, China.
Puwei YuanDepartment of Rehabilitation Hospital Pain Ward, Xi'an Jiaotong University Affiliated Honghui Hospital, Xi'an, Shaanxi, 710054, China.
Wulin KangDepartment of Rehabilitation Hospital Pain Ward, Xi'an Jiaotong University Affiliated Honghui Hospital, Xi'an, Shaanxi, 710054, China.
Tingting LiangDepartment of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510000, Guangdong, China. 1320199507@qq.com.
Bing GuDepartment of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510000, Guangdong, China. gubing@gdph.org.cn.
Bo DongDepartment of Rehabilitation Hospital Pain Ward, Xi'an Jiaotong University Affiliated Honghui Hospital, Xi'an, Shaanxi, 710054, China. dahe_78@163.com.
Xi'an Jiaotong University · CNGuangdong Academy of Medical Sciences · CNInner Mongolia Autonomous Region Hospital of Traditional Chinese Medicine · CNXi'an Honghui Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntestinal flora has been proposed to mediate the occurrence of postmenopausal osteoporosis (PMO). However, the mechanism by which microbes and their metabolites interactively promote PMO remains unknown.

methodsThis study aimed to investigate changes in the intestinal flora and associated metabolites, and their role in PMO. 16S rRNA gene sequencing and metabolomics were performed to obtain postmenopausal women with osteopenia (lower bone mass, LBM), postmenopausal women with osteoporosis (OST), and healthy women as the control group.

resultsWe identified taxa-specific and metabolite differences in the intestinal flora of the participants of this study. The pathogenic bacteria Klebsiella (0.59% and 0.71%, respectively) and Escherichia-Shigella (2.72% and 4.30%, respectively) were enriched in the LBM and OST groups (p < 0.05). Some short-chain fatty acid (SCFAs) producing bacteria, Lactobacillus, Akkermansia, Prevotella, Alistipes, and Butyricicoccus, were reduced in patients with LBM and OST compared to the control. Moreover, fecal metabolomic analyses suggested that the metabolites of indole-3-acetic acid and 7-ketodeoxycholic acid were altered in the LBM and OST groups compared to the control (p < 0.05). Enrichment analysis suggested that valine, leucine, and isoleucine biosynthesis; aromatic amino acid biosynthesis; and phenylalanine metabolism were significantly associated with the identified microbiota biomarkers and OST. Moreover, metabolite marker signatures distinguished patients in the OST from those in the control group with an area under the curve (AUC) of 0.978 and 1.00 in the negative and positive ion modes, respectively. Finally, we also found that the fecal level of interleukin-10 (IL-10) in the OST group was significantly lower than that in the control group and LBM group (p < 0.05), while tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6) were significantly higher in the OST group than that in the control group (p < 0.05).

conclusionsThis study provides robust evidence connecting the intestinal flora and fecal metabolomics with PMO. Integrated metabolite and microbiota analyses demonstrated that in addition to dysregulated bacteria, indole-3-acetic acid, 7-ketodeoxycholic acid, and other metabolites can be used for the distinguish of LBM and PMO.

Indexed as

Osteoporosis, PostmenopausalAmino AcidsBone DensityFemaleHumansInterleukin-6MetabolomicsRNA, Ribosomal, 16SAmino AcidsInterleukin-6RNA, Ribosomal, 16SBiomarkerBone mineral densityFecal metabolitesGut microbiotaPostmenopausal osteoporosis

Identifiers

PMID37495941
PMCPMC10373412
OpenAlexW4385284177

What OpenQuestion 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 OpenQuestion graph.