Evidence map›Paper›PMID 37458988›Full record

ReviewMolecular neurobiology2023

Role of Non-Receptor-Type Tyrosine Phosphatases in Brain-Related Diseases.

Yatong He, Ding Nan, Hongmei Wang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular neurobiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 5 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

3 authors at 2 institutions in 2 countries.

Yatong He *Department of Pharmacology, School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China.
Ding Nan *Department of Pharmacology, School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China.
Hongmei WangDepartment of Pharmacology, School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China. 101012573@seu.edu.cn.ORCID http://orcid.org/0000-0002-6975-9467
Southeast University · CNSoutheast University · BD

Funding

National Natural Science Foundation of China 81602327Zhishan Scholars Programs of Southeast University 2242021R41070
6 · The paper itself

Abstract

The non-receptor protein tyrosine phosphatase is a class of enzymes that catalyze the dephosphorylation of phosphotyrosines in protein molecules. They are involved in cellular signaling by regulating the phosphorylation status of a variety of receptors and signaling molecules within the cell, thereby influencing cellular physiological and pathological processes. In this article, we detail multiple non-receptor tyrosine phosphatase and non-receptor tyrosine phosphatase genes involved in the pathological process of brain disease. These include PTPN6, PTPN11, and PTPN13, which are involved in glioma signaling; PTPN1, PTPN5, and PTPN13, which are involved in the pathogenesis of Alzheimer's disease Tau protein lesions, PTPN23, which may be involved in the pathogenesis of Epilepsy and PTPN1, which is involved in the pathogenesis of Parkinson's disease. The role of mitochondrial tyrosine phosphatase in brain diseases was also discussed. Non-receptor tyrosine phosphatases have great potential for targeted therapies in brain diseases and are highly promising research areas.

Indexed as

Alzheimer DiseaseProtein Tyrosine Phosphatases, Non-ReceptorBrainHumansPhosphorylationSignal TransductionTyrosineProtein Tyrosine Phosphatases, Non-ReceptorPTPN5 protein, humanTyrosineAlzheimer’s diseaseEpilepsyGlioblastomaNon-receptor tyrosine phosphatasesParkinson's diseaseTraumatic brain injury

Identifiers

PMID37458988
OpenAlexW4384559374

What Socratic 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 Socratic graph.