Literature DB >> 34209139

Potential Metabolic Biomarkers in Adult Asthmatics.

Soyoon Sim1, Youngwoo Choi1, Hae-Sim Park1.   

Abstract

Asthma is the most common chronic airway inflammation, with multiple phenotypes caused by complicated interactions of genetic, epigenetic, and environmental factors. To date, various determinants have been suggested for asthma pathogenesis by a new technology termed omics, including genomics, transcriptomics, proteomics, and metabolomics. In particular, the systematic analysis of all metabolites in a biological system, such as carbohydrates, amino acids, and lipids, has helped identify a novel pathway related to complex diseases. These metabolites are involved in the regulation of hypermethylation, response to hypoxia, and immune reactions in the pathogenesis of asthma. Among them, lipid metabolism has been suggested to be related to lung dysfunction in mild-to-moderate asthma. Sphingolipid metabolites are an important mediator contributing to airway inflammation in obese asthma and aspirin-exacerbated respiratory disease. Although how these molecular variants impact the disease has not been completely determined, identification of new causative factors may possibly lead to more-personalized and precise pathway-specific approaches for better diagnosis and treatment of asthma. In this review, perspectives of metabolites related to asthma and clinical implications have been highlighted according to various phenotypes.

Entities:  

Keywords:  asthma; biomarker; diagnosis; inflammation; lipid; metabolite; treatment

Year:  2021        PMID: 34209139     DOI: 10.3390/metabo11070430

Source DB:  PubMed          Journal:  Metabolites        ISSN: 2218-1989


  221 in total

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Journal:  Am J Respir Crit Care Med       Date:  2001-03       Impact factor: 21.405

2.  Transcriptional phenotypes of asthma defined by gene expression profiling of induced sputum samples.

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Journal:  J Allergy Clin Immunol       Date:  2011-01       Impact factor: 10.793

Review 3.  Environmental epigenetics and asthma: current concepts and call for studies.

Authors:  Rachel L Miller; Shuk-Mei Ho
Journal:  Am J Respir Crit Care Med       Date:  2008-01-10       Impact factor: 21.405

4.  TGFbeta1 allele association with asthma severity.

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Journal:  Hum Genet       Date:  2001-10-27       Impact factor: 4.132

5.  Atopy, respiratory function and HLA-DR in Aboriginal Australians.

Authors:  Miriam F Moffatt; Jennie A Faux; Susan Lester; Peter Paré; James McCluskey; Randy Spargo; Alan James; A William Musk; William O C M Cookson
Journal:  Hum Mol Genet       Date:  2003-03-15       Impact factor: 6.150

6.  Variants of NOS1, NOS2, and NOS3 genes in asthmatics.

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7.  Identification of IL6R and chromosome 11q13.5 as risk loci for asthma.

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Journal:  Lancet       Date:  2011-09-10       Impact factor: 79.321

8.  A genome-wide association study on African-ancestry populations for asthma.

Authors:  Rasika A Mathias; Audrey V Grant; Nicholas Rafaels; Tracey Hand; Li Gao; Candelaria Vergara; Yuhjung J Tsai; Mao Yang; Monica Campbell; Cassandra Foster; Peisong Gao; A Togias; Nadia N Hansel; Gregory Diette; N Franklin Adkinson; Mark C Liu; Mezbah Faruque; Georgia M Dunston; Harold R Watson; Michael B Bracken; Josephine Hoh; Pissamai Maul; Trevor Maul; Anne E Jedlicka; Tanda Murray; Jacqueline B Hetmanski; Roxann Ashworth; Chrissie M Ongaco; Kurt N Hetrick; Kimberly F Doheny; Elizabeth W Pugh; Charles N Rotimi; Jean Ford; Celeste Eng; Esteban G Burchard; Patrick M A Sleiman; Hakon Hakonarson; Erick Forno; Benjamin A Raby; Scott T Weiss; Alan F Scott; Michael Kabesch; Liming Liang; Gonçalo Abecasis; Miriam F Moffatt; William O C Cookson; Ingo Ruczinski; Terri H Beaty; Kathleen C Barnes
Journal:  J Allergy Clin Immunol       Date:  2009-11-11       Impact factor: 10.793

Review 9.  Multi-omics approaches to disease.

Authors:  Yehudit Hasin; Marcus Seldin; Aldons Lusis
Journal:  Genome Biol       Date:  2017-05-05       Impact factor: 13.583

10.  Serum Metabolomics Analysis of Asthma in Different Inflammatory Phenotypes: A Cross-Sectional Study in Northeast China.

Authors:  Zhiqiang Pang; Guoqiang Wang; Cuizhu Wang; Weijie Zhang; Jinping Liu; Fang Wang
Journal:  Biomed Res Int       Date:  2018-09-23       Impact factor: 3.411

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  7 in total

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Review 2.  Asthma and the Missing Heritability Problem: Necessity for Multiomics Approaches in Determining Accurate Risk Profiles.

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Journal:  Front Immunol       Date:  2022-05-25       Impact factor: 8.786

Review 3.  Current Insights on the Impact of Proteomics in Respiratory Allergies.

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4.  Metabolomic Associations of Asthma in the Hispanic Community Health Study/Study of Latinos.

Authors:  Yura Lee; Han Chen; Wei Chen; Qibin Qi; Majid Afshar; Jianwen Cai; Martha L Daviglus; Bharat Thyagarajan; Kari E North; Stephanie J London; Eric Boerwinkle; Juan C Celedón; Robert C Kaplan; Bing Yu
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5.  Inside the Alterations of Circulating Metabolome in Antarctica: The Adaptation to Chronic Hypoxia.

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Journal:  Front Physiol       Date:  2022-01-25       Impact factor: 4.566

6.  Immunoregulatory effects of Lactococcus lactis-derived extracellular vesicles in allergic asthma.

Authors:  Dong-Hyun Lee; Han-Ki Park; Hee-Ra Lee; Hyeukjun Sohn; Soyoon Sim; Hyeon Ju Park; Yoo Seob Shin; Yoon-Keun Kim; Youngwoo Choi; Hae-Sim Park
Journal:  Clin Transl Allergy       Date:  2022-03       Impact factor: 5.871

7.  Airway Microbiome and Serum Metabolomics Analysis Identify Differential Candidate Biomarkers in Allergic Rhinitis.

Authors:  Yuze Yuan; Chao Wang; Guoqiang Wang; Xiaoping Guo; Shengyu Jiang; Xu Zuo; Xinlei Wang; Alan Chen-Yu Hsu; Mingran Qi; Fang Wang
Journal:  Front Immunol       Date:  2022-01-05       Impact factor: 7.561

  7 in total

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