Evidence map›Paper›PMID 39512823›Full record

ArticleFrontiers in pharmacology2024

Synergistic anti-osteoporosis effects of

Xuehui Deng, Wenlong Xiao, Bingfeng Lin, Fang Wang, Li Song, Nani Wang

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2024. 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

6 authors.

Xuehui DengDepartment of Medicine, Zhejiang Academy of Traditional Chinese Medicine, Hangzhou, China.
Wenlong XiaoSchool of Pharmacy, Zhejiang Chinese Medical University, Hangzhou, China.
Bingfeng LinSchool of Pharmacy, Zhejiang Chinese Medical University, Hangzhou, China.
Fang WangSchool of Pharmacy, Zhejiang Chinese Medical University, Hangzhou, China.
Li SongSchool of Pharmacy, Zhejiang Chinese Medical University, Hangzhou, China.
Nani WangDepartment of Medicine, Zhejiang Academy of Traditional Chinese Medicine, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Ferroptosis plays a crucial role in the progression of postmenopausal osteoporosis. Methods: The goal herein was to analyze the effective ingredients and molecular mechanisms of AA/PC in the treatment of osteoporosis through serum pharmacochemistry, network pharmacology, metabolomics analysis, and pharmacodynamics evaluation. A bilateral ovariectomized (OVX) mouse model was established. Results and Discussion: Micron-scale computed tomography analysis showed that AA/PC increased bone mineral density in OVX mice. The effects of AA/PC were better than AA or PC alone on inhibiting the bone resorption marker nuclear factor of activated T-cells 1. Furthermore, five absorbable compounds were detected in serum: mangiferin, magnoflorine, berberine, timosaponin BIII, and timosaponin AIII. Network pharmacology showed these compounds had close relationship with seven ferroptosis targets. Importantly, compared with AA or PC alone, the AA/PC herb pair exerted better effects on regulating crucial ferroptosis pathways, including the system xc-/glutathione/glutathione peroxidase 4, transferrin receptor/ferritin, and acyl-CoA synthetase long chain family member 4/polyunsaturated fatty acids signaling pathways. These results indicate that AA/PC exerts synergistic effects on regulating glutathione synthesis, iron homeostasis, and lipid metabolism in ferroptosis. This work lays the foundation for further development and use of AA/PC herb pair for preventing and treating postmenopausal osteoporosis.

Indexed as

Anemarrhena asphodeloides bungeferroptosisherb pairosteoporosisPhellodendron chinense C.K. Schneid

Identifiers

PMID39512823
PMCPMC11540766

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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 OpenQuestion graph.