Evidence map›Paper›PMID 29765110›Full record

ArticleLaboratory investigation; a journal of technical methods and pathology2018

Mast cells contribute to Enterovirus 71 infection-induced pulmonary edema in neonatal mice.

Yuefei Jin, Chao Zhang, Hui Wang, Guangyuan Zhou, Xiangpeng Wang, Rongguang Zhang, Shuaiyin Chen, Jingchao Ren, Lu Chen, Dejian Dang and 5 more

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In one paragraph

Article in Laboratory investigation; a journal of technical methods and pathology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

17 citing papers in PubMed, 25 citations in OpenAlex.

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  10. Analysis of miRNAs Involved in Mouse Heart Injury Upon Coxsackievirus A2 Infection.Frontiers in cellular and infection microbiology · 2022
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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

15 authors at 3 institutions in 2 countries.

Yuefei JinDepartment of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Chao ZhangDepartment of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Hui WangHenan Collaborative Innovation Center of Molecular Diagnosis and Laboratory Medicine, Xinxiang, Henan, People's Republic of China.
Guangyuan ZhouSchool of Public Health, Xinxiang Medical University, Xinxiang, Henan, People's Republic of China.
Xiangpeng WangHenan Collaborative Innovation Center of Molecular Diagnosis and Laboratory Medicine, Xinxiang, Henan, People's Republic of China.
Rongguang ZhangDepartment of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Shuaiyin ChenDepartment of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Jingchao RenHenan Collaborative Innovation Center of Molecular Diagnosis and Laboratory Medicine, Xinxiang, Henan, People's Republic of China.
Lu ChenDepartment of Oncology, The Third Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, People's Republic of China.
Dejian DangDepartment of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Peng ZhangDepartment of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Yuanlin XiDepartment of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Weidong WuHenan Collaborative Innovation Center of Molecular Diagnosis and Laboratory Medicine, Xinxiang, Henan, People's Republic of China.
Weiguo ZhangDepartment of Immunology, Duke University Medical Center, Durham, NC, United States of America.
Guangcai DuanDepartment of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China. gcduan@zzu.edu.cn.
Zhengzhou University · CNXinxiang Medical University · CNDuke Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enterovirus (EV) 71 infection has been widely acknowledged as the leading cause of severe hand, foot and mouth disease (HFMD), which may rapidly lead to fatal pulmonary edema. In this study, we established a mouse model for EV71 infection exhibiting high incidence of severe symptoms with pulmonary edema. Mast cells (MCs) accumulation, activation and allergic inflammation were found in the brains, lungs and skeletal muscle of mice after EV71 infection, especially in the lungs of mice. Levels of histamine, platelet-activating factor (PAF), interleukin (IL)-4, IL-5, IL-13, tumor necrosis factor-α (TNF-α), nitric oxide (NO), endocrine gland-derived vascular endothelial growth factor (EG-VEGF) and noradrenaline (NA) were increased in EV71-infected lungs. In addition, EV71 infection reduced the number of pulmonary T cells, dendritic cells (DCs) and monocytes, and increased the number of lung eosinophils, Tregs and MCs. MCs number and tryptase expression in target organs or tissues posed a trend towards an increase from control to severe mice. There were positive correlations between MCs number in the brains (r = 0.701, P = 0.003), lungs (r = 0.802, P < 0.0001), skeletal muscles (r = 0.737, P = 0.001) and mean clinical score. Thus, our results suggested that MCs contributed to the pulmonary edema during EV71 infection.

Indexed as

AnimalsAnimals, NewbornBrainCytokinesDisease Models, AnimalEnterovirus A, HumanEnterovirus InfectionsHistamineHumansLungMast CellsMice, Inbred BALB CMuscle, SkeletalPulmonary EdemaVascular Endothelial Growth Factor ACytokinesHistamineVascular Endothelial Growth Factor A

Identifiers

PMID29765110
OpenAlexW2804009477

What OpenQuestion holds

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Registered trials

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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.