The Effects of Asthma on the Association Between Pulmonary Function and Obesity: A 16-Year Longitudinal Study

Huang, Ying-Jhen; Chu, Yi-Chi; Huang, Hsiao‐Ling; Hwang, Jing-Shiang; Chan, Ta‐Chien

doi:10.2147/jaa.s299186

Cited by 10 publications

(10 citation statements)

References 48 publications

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“…Interestingly, Comparison between studied groups as regard spirometry parameters (FEV1, FVC % of predicted and FEV1/FVC) showed that there was no statistically significant difference between the groups. This is contrary to a recent study by Huang and coworkers (24) who found that adults who had both abnormal BMI (overweight and obesity) had substantially decreased pulmonary function tests in asthmatic and non-asthmatic patients. Other previous studies have reported slightly lower FEV1/FVC in adults with asthma (25) .…”

Section: Discussioncontrasting

confidence: 99%

Impact of Body Mass Index (BMI) on Serum Interleukin 4 level in Adult Bronchial Asthma Subjects

Ahmed¹,

Refaat²,

Ahmed³

et al. 2022

The Egyptian Journal of Hospital Medicine

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Background: Overweight and obesity are in reported observational studies consistently associated with increased prevalence of asthma. Recently adipose tissue is considered as a source of inflammatory cytokines. Interleukin 4 (IL-4) mediates important pro-inflammatory functions in asthma, including induction of isotype rearrangement of IgE. Objective: The aim of the work was to assess IL4 in relation to Body Mass Index (BMI) in allergic asthmatic patients. Patients and Methods: 100 allergic asthmatic patients were enrolled in the study and classified according to BMI. All participants were subjected to routine laboratory investigations, serum IL4, skin prick test and pulmonary function tests. Results: IL-4 was significantly higher in overweight, obese and massive obesity patients [560 (440-720) pg/ml, 560 (410 -730) pg/ml, 830 (445 -1095 pg/ml respectively] in comparison to non-obese asthmatic patients [160 (80-280) pg/ml] (p<0.001). This difference in serum IL-4 level was strongly correlated to BMI (r=0.74) and body weight (r=0.69) (p<0.001). Simple linear regression analysis revealed a strong relation between serum IL4 and BMI (β = 0.705, p < 0.001). Conclusion: It could be concluded that there is a strong association between the inflammatory cytokine IL4 and BMI among obese allergic asthmatic patients, this may suggest a state of ongoing subclinical inflammatory state in the obese-asthma phenotype.

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Section: Discussioncontrasting

confidence: 99%

Impact of Body Mass Index (BMI) on Serum Interleukin 4 level in Adult Bronchial Asthma Subjects

Ahmed¹,

Refaat²,

Ahmed³

et al. 2022

The Egyptian Journal of Hospital Medicine

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“…A population-based cohort study in The Netherlands of the epidemiology of obesity showed that, in 472 patients with asthma, obesity (BMI > 30 kg/m 2 ) was associated with lower FEV 1 and FVC than non-obesity 32 . Another longitudinal study also showed that obesity was significantly associated with decreased lung function (FVC), and the risk was higher in patients with asthma than in those without asthma 33 , which supported the present results. As for the mechanisms, decreased responses to corticosteroid therapy, which is one of the factors related to the severity of asthma with obesity 21 , 34 , might be involved.…”

Section: Discussionsupporting

confidence: 91%

Obesity affects pulmonary function in Japanese adult patients with asthma, but not those without asthma

Tashiro

Takahashi

Kurihara

et al. 2022

Sci Rep

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Obesity is associated with the severity of asthma, which is characterized by airway obstruction. Pulmonary function testing is one of the important examinations for evaluating airway obstruction. However, the impact of obesity on pulmonary function in patients with asthma is not fully understood. A total of 193 patients with asthma and 2159 patients without asthma who visited Saga University Hospital were investigated retrospectively. Obesity was defined as a body mass index (BMI) greater than 25 kg/m2. Pulmonary functions including forced vital capacity (FVC) and forced expiratory volume in 1 s (FEV1) were compared between patients with and without asthma, focusing especially on obesity. FVC percent predicted and FEV1 percent predicted were significantly lower in patients with asthma than in those without asthma (p = 0.03, < 0.01 respectively). In patients with asthma, FVC percent predicted and FEV1 percent predicted were significantly lower in patients with obesity than in those without obesity (all p < 0.01). In addition, BMI was negatively correlated with FEV1 (r =− 0.21, p = 0.003) and FVC (r = − 0.15, p = 0.04), along with the percent predicted. On multivariate analysis in patients with asthma, FVC (β [95% confidence interval] 0.12 [0.02–0.22], p = 0.02) and FEV1 (0.13 [0.05–0.22], p < 0.01) were still significantly different between patients with and without obesity. However, these obesity-associated differences were not observed in patients without asthma. Obesity reduces pulmonary function, including FVC and FEV1, in patients with asthma, but not in those without asthma.

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“…7 Our previous retrospective longitudinal study revealed that the annual increment of body mass index (BMI) is significantly associated with accelerated lung function decline, with a greater risk of acute exacerbation in asthmatics than non-asthmatics. 8 With the advancement of whole genome sequencing in decades, genome-wide association studies (GWAS) have revealed shared genetic risk factors of obesity-related traits, indicated by body-mass index and high-density lipoprotein with asthma. 9–11 Zhu et al indicated that the impact of BMI-based obesity trait-related genes on populations with later-onset and non-atopic asthma is greater than those with early onset and atopic asthma by conducting a GWAS of 457,822 individuals in the UK Biobank.…”

Section: Introductionmentioning

confidence: 99%

Exploring Factors Underlying Poorly-Controlled Asthma in Adults by Integrating Phenotypes and Genotypes Associated with Obesity and Asthma: A Case-Control Study

Huang¹,

Huang²,

Chu³

et al. 2023

JAA

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Background Uncontrolled asthma in adults leads to poor clinical outcome, while the clinical heterogeneity of phenotypes interferes the applicable genetic determinants. This study aimed to identify phenotypes and genetic impact on poorly-controlled asthma to optimize individualized treatment strategies. Methods This propensity score-matched case-control study included 340 and 1020 asthmatics with poorly-controlled asthma and well-controlled asthma, respectively. Data were obtained from the 2008–2015 Taiwan Biobank Database and linked to the National Health Insurance Research Database. All asthmatics were aged ≥30 years, without cancer history, and each completed a questionnaire, physical examination, and genome-wide single nucleotide polymorphisms (SNPs). Multivariate adjusted odds ratios (ORs) for genetic risk scores were calculated using conditional logistic regression, stratified by age and sex. A model integrating obesity- and asthma-associated phenotypes and genotypes was applied for poorly-controlled asthma risk prediction. Results General obesity with body mass index (BMI) ≥27 kg/m 2 (OR:1.49, 95% confidence interval (CI) 1.09–2.03), central obesity with waist-to-height ratio (WHtR) ≥0.5 (OR:1.62, 95% CI 1.22–2.15), and parental history of asthma (OR:1.65, and 1.68; for BMI model and WHtR model, respectively) were significantly associated with poorly-controlled asthma in adults, and the combination effect of both obesity phenotypes was 1.66 (95% CI 1.17–2.35). A total of 16 obesity-associated SNPs and 9 asthma-associated SNPs were converted into genetic scores, and the aforementioned phenotypes were incorporated into the risk prediction model for poorly-controlled asthma, with an area under curve 0.72 in the receiver operating characteristic curve. The potential biological functions of genes are involved in immunity pathways. Conclusion The prediction model integrating obesity-asthma phenotypes and genotypes for poorly-controlled asthma can facilitate the prediction of high-risk asthma and provide potential targets for novel treatment.

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The Effects of Asthma on the Association Between Pulmonary Function and Obesity: A 16-Year Longitudinal Study

Cited by 10 publications

References 48 publications

Impact of Body Mass Index (BMI) on Serum Interleukin 4 level in Adult Bronchial Asthma Subjects

Impact of Body Mass Index (BMI) on Serum Interleukin 4 level in Adult Bronchial Asthma Subjects

Obesity affects pulmonary function in Japanese adult patients with asthma, but not those without asthma

Exploring Factors Underlying Poorly-Controlled Asthma in Adults by Integrating Phenotypes and Genotypes Associated with Obesity and Asthma: A Case-Control Study

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