Evidence map›Paper›PMID 35035689›Full record

ArticleAmerican journal of translational research2021

Comparative analysis identifies significant peptides related to asthma mechanism.

Danying Zhu, Chao Wang, Chaoyue Meng, Yiwen Liu, Zeyu Zeng, Ran Zhao, Xiaoyan Dong, Xingyun Wang

Open access · greenAbstract read
PubMed Full text at PMC
In one paragraph

Article in American journal of translational research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 50% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 2 institutions in 1 country.

Danying ZhuDepartment of Respiratory, Shanghai Children's Hospital, Shanghai Jiao Tong University Shanghai 200062, China.
Chao WangDepartment of Respiratory, Shanghai Children's Hospital, Shanghai Jiao Tong University Shanghai 200062, China.
Chaoyue MengDepartment of Respiratory, Shanghai Children's Hospital, Shanghai Jiao Tong University Shanghai 200062, China.
Yiwen LiuHongqiao International Institute of Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine Shanghai 200336, China.
Zeyu ZengDepartment of Respiratory, Shanghai Children's Hospital, Shanghai Jiao Tong University Shanghai 200062, China.
Ran ZhaoDepartment of Respiratory, Shanghai Children's Hospital, Shanghai Jiao Tong University Shanghai 200062, China.
Xiaoyan DongDepartment of Respiratory, Shanghai Children's Hospital, Shanghai Jiao Tong University Shanghai 200062, China.
Xingyun WangHongqiao International Institute of Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine Shanghai 200336, China.
Shanghai Children's Hospital · CNTongren Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asthma is a kind of chronic inflammatory and allergic disease. Peptides have showed significant potential for asthma therapeutics. Our study aims to identify the differential peptidomic profiles between asthmatic and non-asthmatic mice. Methods and results: House dust mite (HDM) was utilized to build an asthmatic mouse model. Lung tissues were tested by histological analysis and liquid chromatography-mass spectrometry (LC-MS/MS). Histological analysis of lung tissues showed eosinophils infiltration, thickening of the bronchial wall, swelling, and hyperemia of the mucosa. In which, 108 of 1564 peptides were identified and showed significant differential expression (fold change >2 or fold change <0.5,

Indexed as

Asthmaliquid chromatography-mass spectrometrypeptides

Identifiers

PMID35035689
PMCPMC8748166
OpenAlexW4206881814

What OpenQuestion holds

Textmetadata
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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.