Evidence map›Paper›PMID 29201210›Full record

ArticleExperimental and therapeutic medicine2017

Protective effects of resveratrol on osteoporosis via activation of the SIRT1-NF-κB signaling pathway in rats.

Xiaowei Wang, Liaobin Chen, Wei Peng

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

26 citing papers in PubMed, 45 citations in OpenAlex.

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  12. The sirtuin family in health and disease.Signal transduction and targeted therapy · 2022
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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

3 authors at 1 institution in 1 country.

Xiaowei WangDepartment of Orthopedics, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, P.R. China.
Liaobin ChenDepartment of Orthopedics, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, P.R. China.
Wei PengDepartment of Anesthesiology, Hospital of Stomatology Wuhan University, Wuhan, Hubei 430079, P.R. China.
Wuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to determine the protective effects of resveratrol on a rat model of osteoporosis and examine the associated mechanisms of its action. Rats were randomized into the following groups: Control, osteoporosis, osteoporosis + low-dose resveratrol, osteoporosis + middle-dose resveratrol and osteoporosis + high-dose resveratrol groups. Resveratrol treatment was administered 7 days after surgery for 8 weeks. ELISA assay was used to analyze alkaline phosphatase (ALP) and osteocalcin (OC) protein levels. Western blotting was performed to assess the protein expression of sirtuin 1 (SIRT1), nuclear factor (NF)-κB and NF-κB inhibitor (IkB) α. In the present study, the results indicated that resveratrol markedly improved the bone mineral density value, femoral porosity and bone mechanical tests in osteoporosis rats. Administration of resveratrol significantly decreased the serum levels of ALP and OC in rats with osteoporosis. Finally, treatment with resveratrol significantly promoted the protein expression of SIRT1, suppressed NF-κB and activated the IkBα protein expression in rats with osteoporosis. In conclusion, treatment with resveratrol significantly improved the final body weight of the osteoporosis rats via the SIRT1-NF-κB signaling pathway. The present study suggested that resveratrol exerted a protective effect on osteoporosis through activation of the SIRT1-NF-κB signaling pathway in rats.

Indexed as

nuclear factor-κBosteoporosisresveratrolsirtuin 1

Identifiers

PMID29201210
PMCPMC5704326
OpenAlexW2755131382

What OpenQuestion holds

Textmetadata
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.