Evidence map›Paper›PMID 36046447›Full record

ArticleBioMed research international2022

Qizhi Kebitong Formula Ameliorates Streptozocin-Induced Diabetic Osteoporosis through Regulating the PI3K/Akt/NF-

Lulu Tian, Lu Ding, Guoqiang Wang, Yu Guo, Yunyun Zhao, Yuchi Wei, Xingquan Li, Wei Zhang, Jia Mi, Xiangyan Li and 2 more

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2022. 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
0.3field-weighted citation impact, top 45% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Potential ofChinese herbal medicines · 2025
    Review
  3. 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

12 authors at 2 institutions in 1 country.

Lulu Tian *College of Chinese Medicine, Changchun University of Chinese Medicine, 130117, China.
Lu Ding *Jilin Ginseng Academy, Key Laboratory of Active Substances and Biological Mechanisms of Ginseng Efficacy, Ministry of Education, Jilin Provincial Key Laboratory of Bio-Macromolecules of Chinese Medicine, Changchun University of Chinese Medicine, Changchun, 130117 Jilin, China.ORCID https://orcid.org/0000-0002-3660-4784
Guoqiang WangDepartment of Endocrinology, The Affiliated Hospital to Changchun University of Chinese Medicine, Changchun 130021, China.
Yu GuoCollege of Chinese Medicine, Changchun University of Chinese Medicine, 130117, China.
Yunyun ZhaoCollege of Chinese Medicine, Changchun University of Chinese Medicine, 130117, China.ORCID https://orcid.org/0000-0003-2510-4626
Yuchi WeiCollege of Chinese Medicine, Changchun University of Chinese Medicine, 130117, China.
Xingquan LiCollege of Chinese Medicine, Changchun University of Chinese Medicine, 130117, China.
Wei ZhangJilin Ginseng Academy, Key Laboratory of Active Substances and Biological Mechanisms of Ginseng Efficacy, Ministry of Education, Jilin Provincial Key Laboratory of Bio-Macromolecules of Chinese Medicine, Changchun University of Chinese Medicine, Changchun, 130117 Jilin, China.
Jia MiDepartment of Endocrinology, The Affiliated Hospital to Changchun University of Chinese Medicine, Changchun 130021, China.ORCID https://orcid.org/0000-0002-1374-9809
Xiangyan LiJilin Ginseng Academy, Key Laboratory of Active Substances and Biological Mechanisms of Ginseng Efficacy, Ministry of Education, Jilin Provincial Key Laboratory of Bio-Macromolecules of Chinese Medicine, Changchun University of Chinese Medicine, Changchun, 130117 Jilin, China.ORCID https://orcid.org/0000-0001-6780-6314
Zeyu WangDepartment of Scientific Research, Changchun University of Chinese Medicine, Changchun, China.ORCID https://orcid.org/0000-0002-8643-7478
Xiuge WangDepartment of Endocrinology, The Affiliated Hospital to Changchun University of Chinese Medicine, Changchun 130021, China.ORCID https://orcid.org/0000-0002-2268-4680
Changchun University of Chinese Medicine · CNThe Affiliated Hospital to Changchun University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetic osteoporosis (DOP) is a progressive osteoblast dysfunction induced by high glucose, which has negative impacts on bone homeostasis. Qizhi Kebitong formula (QKF) is a traditional Chinese medicine (TCM) formula for treating DOP. However, its role in the protection of DOP has not been clarified yet. Here, we aimed to explore the potential mechanisms of QKF on DOP development via Methods: Network pharmacology was used to detect the key targets and signaling pathways of QKF on DOP. The effects of QKF on DOP were examined by the phenotypic characteristics, micro-CT, and hematoxylin-eosin (H&E) staining. The predicted targets and pathways were validated by a streptozocin- (STZ-) induced mouse model. Subsequently, the levels of the selected genes and proteins were analyzed using qRT-PCR and Western blot. Finally, AutoDock and PyMOL were used for molecular docking. Results: In this study, 90 active compounds and 2970 related disease targets have been found through network pharmacology. And QKF could improve the microstructures of femur bone mass, reduce inflammatory cell infiltration, and downregulate the levels of TNF- Conclusion: Altogether, our findings suggested that QKF could markedly alleviate osteoblast dysfunction by modulating the key targets and PI3K/Akt/NF-

Indexed as

Diabetes MellitusDrugs, Chinese HerbalOsteoporosisAnimalsMiceMolecular Docking SimulationNF-kappa BPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktStreptozocinDrugs, Chinese HerbalNF-kappa BPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktStreptozocin

Identifiers

PMID36046447
PMCPMC9420605
OpenAlexW4292533920

What Socratic holds

Textmetadata
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 Socratic graph.