Evidence map›Paper›PMID 39702357›Full record

ArticleJournal of orthopaedic surgery and research2024

Asperuloside alleviates osteoporosis by promoting autophagy and regulating Nrf2 activation.

Fenglan Huang, Yiteng Wang, Jinzhu Liu, Ye Cheng, Xiaonan Zhang, Haoli Jiang

Abstract read
In one paragraph

Article in Journal of orthopaedic surgery and research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 4 pooled it
–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

41 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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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

6 authors.

Fenglan HuangDepartment of Outpatient, Shenzhen University General Hospital, Shenzhen, 518055, China.
Yiteng WangDepartment of Sports Medicine, Central Hospital of Dalian University of Technology, Dalian, 116021, China.
Jinzhu LiuDepartment of Orthopedics, Shenzhen Third People's Hospital, Shenzhen, 518112, China.
Ye ChengDepartment of Outpatient, Shenzhen University General Hospital, Shenzhen, 518055, China.
Xiaonan ZhangDepartment of Orthopedics, Shenzhen Third People's Hospital, Shenzhen, 518112, China. sugh_ortho@163.com.
Haoli JiangDepartment of Orthopedics, Shenzhen Third People's Hospital, Shenzhen, 518112, China. alexkeung@sina.com.

Funding

National Natural Science Foundation of China 82104657
6 · The paper itself

Abstract

backgroundOsteoporosis is a metabolic bone disease that has a common occurrence in postmenopausal women. Asperuloside (ASP) has been reported to exert anti-inflammatory and anti-oxidative effects in numerous diseases, such as rheumatoid arthritis and acute lung injury. However, whether ASP plays a role in osteoporosis has not been addressed.

methodsIn vivo, ovariectomy (OVX) was used to induce mouse osteoporosis. Then, the mice were treated with 20 and 40 mg/kg ASP. In vitro, MC3T3-E1 cells were treated with 0, 1, 10, 20, 40 and 80 µM ASP. We chose 20 and 40 µM for further experiments due to no significant effects on cell viability.

resultsThe data indicated that ASP reduced osteoporosis in OVX mice and promoted osteogenic differentiation and mineralization in MC3T3-E1 cells. In addition, we explored that ASP protected against osteoporosis via inducing autophagy and activating Nrf2.

conclusionASP alleviates OVX-induced osteoporosis by promoting autophagy and regulating Nrf2 activation.

Indexed as

AutophagyNF-E2-Related Factor 2OsteoporosisAnimalsCell DifferentiationFemaleMiceMice, Inbred C57BLOsteoblastsOsteogenesisOvariectomyNfe2l2 protein, mouseNF-E2-Related Factor 2AsperulosideAutophagyNrf2Osteoporosis

Identifiers

PMID39702357
PMCPMC11658297

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.