Evidence map›Paper›PMID 35802752›Full record

ArticleAging2022

Integrated proteomics and metabolomics analysis reveals hubs protein and network alterations in myasthenia gravis.

Tong Tong, Jing Zhang, Li Jia, Ping Liang, Na Wang

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 9 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

5 authors at 2 institutions in 1 country.

Tong TongDepartment of Anesthesiology, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang 050011, China.
Jing ZhangDepartment of Anesthesiology, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang 050011, China.
Li JiaDepartment of Anesthesiology, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang 050011, China.
Ping LiangDepartment of Pharmacy, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang 050011, China.
Na WangDepartment of Gynaecology, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang 050011, China.
Hebei Medical University · CNFourth Hospital of Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThymoma-associated myasthenia gravis (TAMG) is a well-described subtype of Myasthenia gravis (MG). Nevertheless, the detailed proteins and bioprocess differentiating TAMG from TAMG (-) thymoma have remained unclear.

methodsThe proteomics and metabolomics were carried out on serum samples from thymoma group (

resultsThe of module-trait correlation of WGCNA analysis identified KRT1, GSN, COL6A1, KRT10, FOLR2, KRT9, KRT2, TPI1, ARF3, LYZ, ADIPOQ, SEMA4B, IGKV1-27, MASP2, IGF2R was associated with TAMG (+) thymomas. In addition, organismal systems-immune system and metabolism-biosynthesis of other secondary metabolites were closely related to the mechanism of TAMG (+) pathogenesis.

conclusionOur integrated proteomics and metabolomics analysis supply a systems-level view of proteome changes in TAMG (+), TAMG (-) thymomas and exposes disease-associated protein network alterations involved in.

Indexed as

Folate Receptor 2Myasthenia GravisThymomaThymus NeoplasmsHumansMannose-Binding Protein-Associated Serine ProteasesMetabolomicsProteomicsFolate Receptor 2FOLR2 protein, humanMannose-Binding Protein-Associated Serine ProteasesMASP2 protein, humangene co-expression networksmetabolomicsmyasthenia gravisproteomicsWGCNA

Identifiers

PMID35802752
PMCPMC9320536
OpenAlexW4284967439

What OpenQuestion holds

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LicenceCC BY
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.