Evidence map›Paper›PMID 41372273›Full record

ArticleScientific reports2025

Quantitative LFQ-DIA proteomics reveals FTH1-MCM5/WNT axis mediated osteoblastic dysfunction via ferroptosis drives diabetic osteoporosis.

Jiebin Lin, Yongze Zhang, Zhenrun Zhan, Dan Liang, Xuan Zhou, Ke Zheng, Yalong Tu, Sunjie Yan

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jiebin Lin *Department of Endocrinology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
Yongze Zhang *Department of Endocrinology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
Zhenrun Zhan *Department of Endocrinology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
Dan LiangDepartment of Endocrinology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
Xuan ZhouDepartment of Endocrinology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
Ke ZhengDepartment of Endocrinology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
Yalong TuDepartment of Endocrinology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
Sunjie YanDepartment of Endocrinology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China. fjyansunjie@163.com.

Funding

National Natural Science Foundation of China No.82371601the Scientific and Technological Major Special Project of the Fujian Provincial Health Commission No.2021ZD01004
6 · The paper itself

Abstract

In diabetes mellitus osteoporosis (DMOP), a common and severe chronic complication of diabetes mellitus (DM), long-term challenges are posed to public health. Recent evidence has implicated ferroptosis-a form of regulated cell death driven by iron-dependent lipid peroxidation-in the pathogenesis of DMOP. Ferritin heavy chain 1 (FTH1) plays a critical role in regulating iron metabolism during ferroptosis. To elucidate the regulatory mechanisms by which FTH1 modulates osteoblast (OB) ferroptosis and aberrant bone metabolism under high glucose and high fat (HGHF) conditions, we performed quantitative LFQ-DIA proteomics combined with bioinformatic analysis. MC3T3-E1 cells cultured under high glucose and high palmitic acid (HGPA) conditions were subjected to lentiviral-mediated FTH1 knock down (KD) or over expression (OE), and their protein expression profiles were systematically compared. We identified 857 differentially expressed proteins (DEPs) in the FTH1

Indexed as

FerritinsFerroptosisOsteoblastsOsteoporosisWnt Signaling PathwayAnimalsCell LineMiceProteomicsFerritinsFerroptosisFTH1MCM5Proteomic analysisWNT signaling

Identifiers

PMID41372273
PMCPMC12696055

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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.