Evidence map›Paper›PMID 32632140›Full record

ArticleCell death & disease2020

TIGAR/AP-1 axis accelerates the division of Lgr5

Fei Chen, Yushuo Zhang, Songling Hu, Xiaolin Shi, Zhongmin Wang, Zicheng Deng, Longxin Lin, Jianghong Zhang, Yan Pan, Yang Bai and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cell death & disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 11 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

13 authors at 3 institutions in 1 country.

Fei Chen *Institute of Radiation Medicine, Fudan University, Shanghai, 200032, China.
Yushuo Zhang *State Key Laboratory of Radiation Medicine and Protection, School of Radiation Medicine and Protection, Medical College of Soochow University, Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Jiangsu Provincial Key Laboratory of Radiation Medicine and Protection, Suzhou, 215123, China.
Songling HuInstitute of Radiation Medicine, Fudan University, Shanghai, 200032, China.
Xiaolin ShiState Key Laboratory of Radiation Medicine and Protection, School of Radiation Medicine and Protection, Medical College of Soochow University, Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Jiangsu Provincial Key Laboratory of Radiation Medicine and Protection, Suzhou, 215123, China.
Zhongmin WangDepartment of Interventional Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Zicheng DengState Key Laboratory of Radiation Medicine and Protection, School of Radiation Medicine and Protection, Medical College of Soochow University, Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Jiangsu Provincial Key Laboratory of Radiation Medicine and Protection, Suzhou, 215123, China.
Longxin LinState Key Laboratory of Radiation Medicine and Protection, School of Radiation Medicine and Protection, Medical College of Soochow University, Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Jiangsu Provincial Key Laboratory of Radiation Medicine and Protection, Suzhou, 215123, China.
Jianghong ZhangInstitute of Radiation Medicine, Fudan University, Shanghai, 200032, China.
Yan PanInstitute of Radiation Medicine, Fudan University, Shanghai, 200032, China.
Yang BaiInstitute of Radiation Medicine, Fudan University, Shanghai, 200032, China.
Fenju LiuState Key Laboratory of Radiation Medicine and Protection, School of Radiation Medicine and Protection, Medical College of Soochow University, Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Jiangsu Provincial Key Laboratory of Radiation Medicine and Protection, Suzhou, 215123, China.
Haowen ZhangInstitute of Radiation Medicine, Fudan University, Shanghai, 200032, China. hwzhang@suda.edu.cn.
Chunlin ShaoInstitute of Radiation Medicine, Fudan University, Shanghai, 200032, China. clshao@shmu.edu.cn.
Soochow University · CNFudan University · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During radiologic or nuclear accidents, high-dose ionizing radiation (IR) can cause gastrointestinal syndrome (GIS), a deadly disorder that urgently needs effective therapy. Unfortunately, current treatments based on natural products and antioxidants have shown very limited effects in alleviating deadly GIS. Reserve intestinal stem cells (ISCs) and secretory progenitor cells are both reported to replenish damaged cells and contribute to crypt regeneration. However, the suppressed β-catenin/c-MYC axis within these slow-cycling cells leads to limited regenerative response to restore intestinal integrity during fatal accidental injury. Current study demonstrates that post-IR overexpression of TIGAR, a critical downstream target of c-MYC in mouse intestine, mounts a hyperplastic response in Bmi1-creERT

Indexed as

Radiation, IonizingSignal TransductionAnimalsApoptosis Regulatory ProteinsFemaleGastrointestinal DiseasesIntestinesMaleMiceModels, BiologicalPhosphoric Monoester HydrolasesReactive Oxygen SpeciesReceptors, G-Protein-CoupledRegenerationStem CellsTranscription Factor AP-1Apoptosis Regulatory ProteinsLgr5 protein, mousePhosphoric Monoester HydrolasesReactive Oxygen SpeciesReceptors, G-Protein-CoupledTIGAR protein, mouseTranscription Factor AP-1

Identifiers

PMID32632140
PMCPMC7338449
OpenAlexW3039695305

What OpenQuestion holds

Textmetadata
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.