Cadherin‐related family member 3 gene impacts childhood asthma in Chinese children

Leung, Ting Fan; Tang, Man; Leung, Agnes Sze Yin; Kong, Alice Pik Shan; Liu, Tak Chi; Chan, Renee W. Y.; Wan, Ronald Ching; Sy, Hing Yee; Chan, Juliana C.N.; Wong, Gary

doi:10.1111/pai.13138

Cited by 7 publications

(12 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…and the impact of obesity ( 50 – 53 ). Genes associated with increased susceptibility to asthma and lower spirometry indices were identified in Chinese and Egyptian children ( 54 , 55 ). One study assessed current definitions of BDR, suggesting that a BDR of >7.5% may be more valuable in young children rather than the adult defined 12% ( 56 ).…”

Section: Resultsmentioning

confidence: 99%

Lung Function in Preschool Children in Low and Middle Income Countries: An Under-Represented Potential Tool to Strengthen Child Health

Chaya

Zar²,

Gray³

2022

Front. Pediatr.

View full text Add to dashboard Cite

BackgroundThe burden of respiratory disease is high in low-middle income countries (LMIC). Pulmonary function tests are useful as an objective measure of lung health and to track progression. Spirometry is the commonest test, but its use is limited in preschool children. Other lung function methods have been developed but their use in LMIC has not been well described.AimTo review the use of preschool lung function testing in children in LMIC, with particular reference to feasibility and clinical applications.MethodsElectronic databases “PubMed”, “Scopus”,” Web of Science”, and “EBSCO host” were searched for publications in low and middle income countries on preschool lung function testing, including spirometry, fractional exhaled nitric oxide (FeNO), oscillometry, interrupter technique, tidal breathing and multiple breath washout (MBW), from 1 January 2011 to 31 January 2022. Papers in English were included and those including only children ≥6 years were excluded.ResultA total of 61 papers from LMIC in Asia, South America, Africa, Eurasia or the Middle East were included. Of these, 40 included spirometry, 7 FeNO, 15 oscillometry, 2 interrupter technique, and 2 tidal breathing. The papers covered test feasibility (19/61), clinical application (46/61) or epidemiological studies (13/61). Lung function testing was successful in preschool children from LMIC. Spirometry was the most technically demanding and success gradually increased with age.ConclusionPreschool lung function testing is under-represented in LMIC for the burden of respiratory disease. These tests have the potential to strengthen respiratory care in LMIC, however access needs to be improved.

show abstract

Section: Resultsmentioning

confidence: 99%

Lung Function in Preschool Children in Low and Middle Income Countries: An Under-Represented Potential Tool to Strengthen Child Health

Chaya

Zar²,

Gray³

2022

Front. Pediatr.

View full text Add to dashboard Cite

show abstract

“…Most of these loci are located in immune-related genes, such as TLR1, GSDMA, IL5, and HLA-DQB1, which are consistent with immune responses in asthma. Several loci have been replicated and associated with asthma in China (rs6967330 [12] and rs928413 [13]), United Kingdom (rs7212938 and rs3894194 [14]), Korea (rs7212938 [15]), Slovenia (rs2305480 [16]), and Sweden (rs2305480 and rs3771180 [17]).…”

Section: Introductionmentioning

confidence: 99%

Importance of GWAS Risk Loci and Clinical Data in Predicting Asthma Using Machine-Learning Approaches

et al. 2020

View full text Add to dashboard Cite

Asthma is a serious immune-mediated respiratory airway disease. Its pathological processes involve genetics and the environment, but it remains unclear. To understand the risk factors of asthma, we combined genome-wide association study (GWAS) risk loci and clinical data in predicting asthma using machine-learning approaches. A case-control study with 123 asthma patients and 100 healthy controls was conducted in Zhuang population in Guangxi. GWAS risk loci were detected using polymerase chain reaction, and clinical data were collected. Machine-learning approaches (e.g., extreme gradient boosting [XGBoost], decision tree, support vector machine, and random forest algorithms) were used to identify the major factors that contributed to asthma. A total of 14 GWAS risk loci with clinical data were analyzed on the basis of 10 times of 10-fold cross-validation for all machine-learning models. Using GWAS risk loci or clinical data, the best performances were area under the curve (AUC) values of 64.3% and 71.4%, respectively. Combining GWAS risk loci and clinical data, the XGBoost established the best model with an AUC of 79.7%, indicating that the combination of genetics and clinical data can enable improved performance. We then sorted the importance of features and found that the top six risk factors for predicting asthma were rs3117098, rs7775228, family history, rs2305480, rs4833095, and body mass index. Asthma-prediction models based on GWAS risk loci and clinical data can accurately predict asthma and thus provide insights into the disease pathogenesis of asthma. Further research is required to evaluate more genetic markers and clinical data and predict asthma risk.

show abstract

“…Genetic studies focusing on specific populations are scarce in pediatric asthma; nevertheless, PAI has recently published studies addressing a South African Xhosa population and a Chinese population. 10,11 Similarly to the study commented above, Popovic et al have investigated the methylation of DNA regions in asthmatic patients. 12 In addition, other studies contribute to the link between genetics and inflammation.…”

mentioning

confidence: 99%

“…While these two genes are probably not known yet by the clinicians treating asthma patients, they may be targeted in the future for clinical interventions for the prevention or treatment of asthma exacerbations. Genetic studies focusing on specific populations are scarce in pediatric asthma; nevertheless, PAI has recently published studies addressing a South African Xhosa population and a Chinese population 10,11 . Similarly to the study commented above, Popovic et al have investigated the methylation of DNA regions in asthmatic patients 12 .…”

mentioning

confidence: 99%

Immunology and genetics of asthma, and probiotics in the treatment of atopic dermatitis

Eigenmann

2021

Pediatric Allergy Immunology

View full text Add to dashboard Cite

Immunology and genetics of asthma, and probiotics in the treatment of atopic dermatitisThis past year has been disrupting, but also seen positive challenges in many aspects. And we would like to start this first issue of 2021 with a positive message. COVID-19 vaccines are coming, and hopefully, they will largely contribute to controlling the spread of the pandemic. Common vaccines trigger an immune response by an antigen-driven stimulus. However, the SARS-CoV-2-induced pandemic control is addressed not only by classic vaccine strategies but also by new, RNA-based strategies. The first review of this issue by Eberhardt and Siegrist assesses the various immunization strategies and their limitations to the pediatric population. 1 In addition, with the second wave (or third wave for some regions) pediatricians will be faced with more patients suffering from the multisystem inflammatory syndrome in children (MIS-C). The second review also addresses COVID-19 in pediatrics and discusses potential explanations for progression from "classic" COVID-19 to MIS-C. 2Asthma is a common disease in childhood, with still unmet needs regarding the understanding of immune mechanisms of progressions, as well as optimization of treatment by immunomodulators. 3,4 The first study I wish to comment on in this editorial is published by Beatriz Sastre and colleagues who investigated immune mechanisms underlying the development of recurrent wheezing after bronchiolitis in infancy. 5 Cells obtained from nasopharyngeal aspirates were sorted by flow cytometry to isolate type 2 innate lymphoid cells (ILC2). Cell mRNA expression was analyzed for a variety of inflammatory factors, and a large panel of pro-inflammatory and immunomodulatory factors, as well as lipid mediators and nitrites, was evaluated by ELISA and Luminex. They observed a higher expression of the ST2 + IL-33 receptor in the ILC2 population from the bronchiolitis group. This expression receptor could be increased by the presence of IL-1β, IL-2, or lipid mediators such as cysteinyl leukotrienes (LTC4 or LTE4) or prostaglandin D2. They conclude by mentioning that bronchiolitis patients had a higher percentage of ILC2 cells in the nasal aspirate and that this population of cells, by providing specific inflammatory signals, could play a significant role in the development of wheezing episodes later in life. Other studies and a review have recently addressed cell-related mechanisms of asthma and confirm the recent interest in innate-immunity-related mechanisms of asthma. [6][7][8]

show abstract

Cadherin‐related family member 3 gene impacts childhood asthma in Chinese children

Cited by 7 publications

References 37 publications

Lung Function in Preschool Children in Low and Middle Income Countries: An Under-Represented Potential Tool to Strengthen Child Health

Lung Function in Preschool Children in Low and Middle Income Countries: An Under-Represented Potential Tool to Strengthen Child Health

Importance of GWAS Risk Loci and Clinical Data in Predicting Asthma Using Machine-Learning Approaches

Immunology and genetics of asthma, and probiotics in the treatment of atopic dermatitis

Contact Info

Product

Resources

About