Evidence map›Paper›PMID 38213143›Full record

ArticleCombinatorial chemistry & high throughput screening2024

Disulfidptosis-related Protein RPN1 may be a Novel Anti-osteoporosis Target of Kaempferol.

Chengzhen Pan, Chi Zhang, Zonghan Lin, Zhou Liang, Yinhang Cui, Zhihao Shang, Yuanxun Wei, Feng Chen

Abstract read
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In one paragraph

Article in Combinatorial chemistry & high throughput screening, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
3.5field-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

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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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

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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 3 institutions in 1 country.

Chengzhen PanRuikang Hospital Affiliated with Guangxi University of Chinese Medicine, Nanning, Guangxi, China.ORCID 0009-0004-5046-3617
Chi ZhangRuikang Hospital Affiliated with Guangxi University of Chinese Medicine, Nanning, Guangxi, China.ORCID 0000-0002-4143-170X
Zonghan LinRuikang Hospital Affiliated with Guangxi University of Chinese Medicine, Nanning, Guangxi, China.ORCID 0009-0009-9861-3238
Zhou LiangYulin Orthopedic Hospital of Integrated Traditional Chinese and Western Medicine, Yulin, Guangxi, China.ORCID 0000-0002-7553-7254
Yinhang CuiRuikang Hospital Affiliated with Guangxi University of Chinese Medicine, Nanning, Guangxi, China.ORCID 0009-0003-0514-3676
Zhihao ShangNanjing University of Chinese Medicine, Nanjing, Jiangsu, China.ORCID 0009-0000-0951-9907
Yuanxun WeiRuikang Hospital Affiliated with Guangxi University of Chinese Medicine, Nanning, Guangxi, China.ORCID 0000-0003-3882-8922
Feng ChenRuikang Hospital Affiliated with Guangxi University of Chinese Medicine, Nanning, Guangxi, China.ORCID 0009-0008-3621-105X
Guangxi University of Chinese Medicine · CNNanjing University of Chinese Medicine · CNYulin Orthopedics Hospital of Chinese and Western Medicine · CN

Funding

Guangxi Chinese Medicine Multidisciplinary Interdisciplinary Innovation Team Project GZKJ2310Guangxi Natural Science Foundation 2021GXNSFAA220089Innovation Project of Guangxi Graduate Education YCBXJ2023034Scientific Research Project of Guangxi Zhuang Autonomous Region Administration of Traditional Chinese Medicine GXZYK20230695
6 · The paper itself

Abstract

backgroundOsteoporosis (OP) is an age-related skeletal disease. Kaempferol can regulate bone mesenchymal stem cells (BMSCs) osteogenesis to improve OP, but its mechanism related to disulfidptosis, a newly discovered cell death mechanism, remains unclear.

objectiveThe study aimed to investigate the biological function and immune mechanism of disulfidptosis- related ribophorin I (RPN1) in OP and to experimentally confirm that RPN1 is the target for the treatment of OP with kaempferol.

methodsDifferential expression analysis was conducted on disulfide-related genes extracted from the GSE56815 and GSE7158 datasets. Four machine learning algorithms identified disease signature genes, with RPN1 identified as a significant risk factor for OP through the nomogram. Validation of RPN1 differential expression in OP patients was performed using the GSE56116 dataset. The impact of RPN1 on immune alterations and biological processes was explored. Predictive ceRNA regulatory networks associated with RPN1 were generated via miRanda, miRDB, and TargetScan databases. Molecular docking estimated the binding model between kaempferol and RPN1. The targeting mechanism of kaempferol on RPN1 was confirmed through pathological HE staining and immunohistochemistry in ovariectomized (OVX) rats.

resultsRPN1 was abnormally overexpressed in the OP cohort, associated with TNF signaling, hematopoietic cell lineage, and NF-kappa B pathway. Immune infiltration analysis showed a positive correlation between RPN1 expression and CD8+ T cells and resting NK cells, while a negative correlation with CD4+ naive T cells, macrophage M1, T cell gamma delta, T cell follicular helper cells, activated mast cells, NK cells, and dendritic cells, was found. Four miRNAs and 17 lncRNAs associated with RPN1 were identified. Kaempferol exhibited high binding affinity (-7.2 kcal/mol) and good stability towards the RPN1. The experimental results verified that kaempferol could improve bone microstructure destruction and reverse the abnormally high expression of RPN1 in the femur of ovariectomized rats.

conclusionRPN1 may be a new diagnostic biomarker in patients with OP, and may serve as a new target for kaempferol to improve OP.

Indexed as

KaempferolsMolecular Docking SimulationOsteoporosisAnimalsEndoribonucleasesFemaleHumansMesenchymal Stem CellsRatsRats, Sprague-DawleyEndoribonucleaseskaempferolKaempferolsbioinformatics analysis.disulfidptosisflavonoidsimmune infiltrationkaempferolosteoporosisRibophorin I

Identifiers

PMID38213143
OpenAlexW4390791405

What OpenQuestion holds

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Read underepoch 390

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.