Evidence map›Paper›PMID 32935487›Full record

ReviewAllergy, asthma & immunology research2020

Important Role of Immunological Responses to Environmental Exposure in the Development of Allergic Asthma.

Xinliu Lin, Xia Ren, Xiaojun Xiao, Zhaowei Yang, Siyang Yao, Gary Wk Wong, Zhigang Liu, Charles Wang, Zhong Su, Jing Li

Open access · diamondAbstract readReview
In one paragraph

Review in Allergy, asthma & immunology research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
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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

10 authors at 5 institutions in 3 countries.

Xinliu LinDepartment of Allergy and Clinical Immunology, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.ORCID https://orcid.org/0000-0003-2622-8583
Xia RenDepartment of Allergy and Clinical Immunology, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Xiaojun XiaoInstitute of Allergy and Immunology, School of Medicine, Shenzhen University, Shenzhen, China.ORCID https://orcid.org/0000-0002-1195-0541
Zhaowei YangDepartment of Allergy and Clinical Immunology, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.ORCID https://orcid.org/0000-0002-1805-4360
Siyang YaoDepartment of Allergy and Clinical Immunology, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.ORCID https://orcid.org/0000-0001-9128-7665
Gary Wk WongDepartments of Pediatrics, Prince of Wales Hospital, The Chinese University of Hong Kong, China.ORCID https://orcid.org/0000-0001-5939-812X
Zhigang LiuInstitute of Allergy and Immunology, School of Medicine, Shenzhen University, Shenzhen, China.
Charles WangDepartment of Allergy and Clinical Immunology, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Zhong SuGuangzhou Institute of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China. su_zhong@gibh.ac.cn.ORCID https://orcid.org/0000-0001-5522-9679
Jing LiDepartment of Allergy and Clinical Immunology, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China. lijing@gird.cn.ORCID https://orcid.org/0000-0002-4021-7111
First Affiliated Hospital of Guangzhou Medical University · CNLoma Linda University · USShenzhen University · CNChinese Academy of Sciences · CNChinese University of Hong Kong · HK

Funding

Key program of Science & Technology Specific Project of Guangzhou Science and Innovation Bureau 201607020046National Natural Science Foundation of China-Guangdong joint fund U1801286Precision Medicine Research Program of National Key Research and Development Project of China 2016YFC0905800Special funding program for Science and Technology Development of Guangdong Province 2017B020226006
6 · The paper itself

Abstract

Allergic asthma is a public health problem that affects human health and socioeconomic development. Studies have found that the prevalence of asthma has significantly increased in recent years, which has become particularly pronounced in developed countries. With rapid urbanization in China in the last 3 decades, the prevalence of asthma has increased significantly in urban areas. As changes in genetic backgrounds of human populations are limited, environmental exposure may be a major factor that is responsible for the increased prevalence of asthma. This review focuses on environmental components of farms and rural areas that may have protective effects in reducing the development of asthma. Farm and rural related microorganism- and pathogen-associated molecular patterns are considered to be important environmental factors that modulate host's innate and adaptive immune system to induce protection effects later in life. Environmental microbial-related immunotherapy will also be discussed as the future research direction for the prevention of allergic asthma.

Indexed as

Asthmaenvironmental exposureepidemiologyhouse dust mitehygiene hypothesis

Identifiers

PMID32935487
PMCPMC7492518
OpenAlexW3035723375

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.