Evidence map›Paper›PMID 42497191›Full record

ArticlePloS one2026

IL5 rs2069812 and IL13 rs1800925 Genetic variants as key determinants of clinically relevant asthma phenotypes.

Pattara Kanoksing, Apichaya Puangpetch, Theerasuk Kawamatawong, Thatchathum Kuttiyod, Kantapat Simmalee, Roger Frutos, Putthapoom Lumjiaktase

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Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Pattara KanoksingDepartment of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Apichaya PuangpetchDepartment of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Theerasuk KawamatawongDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Thatchathum KuttiyodRatchasuda Institute, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Kantapat SimmaleeDepartment of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Roger FrutosDepartment of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Putthapoom LumjiaktaseDepartment of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.ORCID https://orcid.org/0000-0001-8013-6204

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2-high airway inflammation in adults with asthma is heavily driven by the cytokines interleukin (IL)-4, IL-5, and IL-13. While genetic variations in these cytokines are known to influence asthma pathogenesis, their specific impacts on clinically relevant phenotypes remain to be fully elucidated. This study aimed to investigate the associations between inflammatory cytokine gene polymorphisms, clinical asthma phenotypes, inflammation cell subtypes, and lung function. A cross-sectional study was conducted involving 125 adults with asthma. Genotyping was performed for the following single-nucleotide polymorphisms (SNPs): IL33 (rs1342326, rs3939286), IL4 (rs2243250, rs2243248), IL5 rs2069812, and IL13 (rs20541, rs1800925). Clinical evaluations included lung function, blood eosinophils, type 2 innate lymphoid cells (ILC2s), Th2 cells, cytokine levels, and specific IgE. The IL4 rs2243248 TT genotype was associated with higher TNF-α (p = 0.038), while the IL13 rs1800925 polymorphism was associated with increased Th2 cell counts (p = 0.025). Notably, IL5 rs2069812 was strongly associated with blood eosinophilia (p < 0.001) and reduced lung function. Linear regression revealed a significant gene-dose effect of IL-5 rs2069812 T allele, which correlated with an increase in log10 eosinophils (β = 0.207, p < 0.001) and a decrease in post-bronchodilator FEV1% (β = -7.38, p = 0.014). Furthermore, the IL5 rs2069812 and IL13 rs1800925 variants significantly increased the risk of blood eosinophilia (Prevalence Ratio [PR] = 2.59, p < 0.001) and fixed airflow obstruction (PR = 1.81, p = 0.039), respectively. The IL5 rs2069812 and IL13 rs1800925 polymorphisms serve as key genetic determinants of persistent blood eosinophilia and fixed airflow obstruction, respectively. Both variants significantly contribute to the severity of airflow limitation in adult asthma, highlighting their potential as biomarkers for precision phenotyping.

Indexed as

AsthmaInterleukin-13Interleukin-5Polymorphism, Single NucleotideAdultCross-Sectional StudiesEosinophilsFemaleGenetic Predisposition to DiseaseGenotypeHumansImmunoglobulin EMaleMiddle AgedPhenotypeTh2 CellsIL13 protein, humanIL5 protein, humanImmunoglobulin EInterleukin-13Interleukin-5

Identifiers

PMID42497191
PMCPMC13399323

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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.