Evidence map›Paper›PMID 31461386›Full record

ArticleFASEB journal : official publication of the Federation of American Societies for Experimental Biology2019

Activation of ROS/MAPKs/NF-κB/NLRP3 and inhibition of efferocytosis in osteoclast-mediated diabetic osteoporosis.

Yanan An, Haifeng Zhang, Chao Wang, Fangtai Jiao, Hongyue Xu, Xuefei Wang, Wenjing Luan, Fangxue Ma, Lihui Ni, Xudong Tang and 3 more

Open access · greenAbstract read
In one paragraph

Article in FASEB journal : official publication of the Federation of American Societies for Experimental Biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 240 papers.

0numbers the graph read from it
0cells of the map it votes in
240citing papers in PubMed
11.1field-weighted citation impact, top 1% 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

240 citing papers in PubMed, 384 citations in OpenAlex.

  1. Trial
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  13. Chinese cobra (Naja atra) SVPLACommunications biology · 2026
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  14. Astragaloside IV fromAntioxidants (Basel, Switzerland) · 2026
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  15. Bone Organoids: A Novel Tool for Modeling and Managing Skeletal Disorders in Diabetes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  16. Article
  17. Identification of common genetic features and pathways for osteoporosis with frozen shoulder by integrated bioinformatics analysis and machine learning.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2026
    Article
  18. Article
  19. Article
  20. Review

180 more citing papers are in PubMed but not listed here.

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

13 authors at 3 institutions in 1 country.

Yanan An *Department of Endocrinology, Department of Interventional Therapy, First Hospital of Jilin University, Key Laboratory of Zoonosis Research, Ministry of Education, and Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun, China.
Haifeng Zhang *Department of Endocrinology, Department of Interventional Therapy, First Hospital of Jilin University, Key Laboratory of Zoonosis Research, Ministry of Education, and Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun, China.
Chao WangDepartment of Endocrinology, Department of Interventional Therapy, First Hospital of Jilin University, Key Laboratory of Zoonosis Research, Ministry of Education, and Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun, China.
Fangtai JiaoDepartment of Endocrinology, Department of Interventional Therapy, First Hospital of Jilin University, Key Laboratory of Zoonosis Research, Ministry of Education, and Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun, China.
Hongyue XuDepartment of Endocrinology, Department of Interventional Therapy, First Hospital of Jilin University, Key Laboratory of Zoonosis Research, Ministry of Education, and Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun, China.
Xuefei WangDepartment of Endocrinology, Department of Interventional Therapy, First Hospital of Jilin University, Key Laboratory of Zoonosis Research, Ministry of Education, and Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun, China.
Wenjing LuanDepartment of Endocrinology, Department of Interventional Therapy, First Hospital of Jilin University, Key Laboratory of Zoonosis Research, Ministry of Education, and Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun, China.
Fangxue MaDepartment of Endocrinology, Department of Interventional Therapy, First Hospital of Jilin University, Key Laboratory of Zoonosis Research, Ministry of Education, and Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun, China.
Lihui NiDepartment of Endocrinology, Department of Interventional Therapy, First Hospital of Jilin University, Key Laboratory of Zoonosis Research, Ministry of Education, and Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun, China.
Xudong TangKey Laboratory for New Drugs Research of Traditional Chinese Medicine (TCM), Research Institute of Tsinghua University in Shenzhen, Shenzhen, China.
Mingyuan LiuDepartment of Endocrinology, Department of Interventional Therapy, First Hospital of Jilin University, Key Laboratory of Zoonosis Research, Ministry of Education, and Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun, China.
Weiying GuoDepartment of Endocrinology, Department of Interventional Therapy, First Hospital of Jilin University, Key Laboratory of Zoonosis Research, Ministry of Education, and Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun, China.
Lu YuDepartment of Endocrinology, Department of Interventional Therapy, First Hospital of Jilin University, Key Laboratory of Zoonosis Research, Ministry of Education, and Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun, China.
Jilin University · CNFirst Hospital of Jilin University · CNTsinghua University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus (DM) affects bone metabolism and leads to osteoporosis; however, its pathogenetic mechanisms remain unknown. We found that high glucose (HG) conditions induced the production of reactive oxygen species (ROS) and the expression of proteins related to MAPKs [phosphorylated (p)-ERK, p-JNK, and p-p38], NF-κB (NF-κB, p-IκB, and IKK), and NACHT-LRR-PYD domains-containing protein 3 (NALP3) (NLRP3) [apoptosis-associated speck-like protein containing a caspase activation and recruitment domain (ASC), caspase-1, IL-18, IL-1β, and NLRP3] in osteoclasts (OCs)

Indexed as

MAP Kinase Signaling SystemAnimalsDiabetes ComplicationsDiabetes Mellitus, ExperimentalExtracellular Signal-Regulated MAP KinasesMaleNF-kappa BNLR Family, Pyrin Domain-Containing 3 ProteinOsteoclastsOsteoporosisRatsRats, Sprague-DawleyReactive Oxygen SpeciesExtracellular Signal-Regulated MAP KinasesNF-kappa BNLR Family, Pyrin Domain-Containing 3 ProteinNlrp3 protein, ratReactive Oxygen Speciesdiabetes mellitus osteoporosisinfalmmasomeosteoclastsreactive oxygen species

Identifiers

PMID31461386
PMCPMC6902677
OpenAlexW2970008479

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.