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Fang L, Shen Y, Huang T, Wu M, Duan X. Diagnostic value of IgE, fractional of exhaled nitric oxide, and peripheral blood eosinophils in adult bronchial asthma and their relationship with disease severity. Am J Transl Res 2024; 16:7521-7529. [PMID: 39822497 PMCID: PMC11733331 DOI: 10.62347/isdg3545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2024] [Accepted: 10/28/2024] [Indexed: 01/19/2025]
Abstract
OBJECTIVE To investigate the diagnostic value of immunoglobulin E (IgE), fractional of exhaled nitric oxide (FeNO), and peripheral blood eosinophils (EOS) in adult bronchial asthma and to analyze their relationship with asthma severity. METHODS A retrospective analysis was conducted on 336 patients diagnosed with bronchial asthma and admitted to Xi'an Fourth Hospital from January 2022 to January 2024, forming the asthma group. Additionally, another 127 healthy subjects were selected as the non-asthmatic control group. The patients in the asthma group were categorized into a mild asthma group (n=138), a moderate asthma group (n=115), and a severe asthma group (n=83) according to the severity of the disease. Clinical data, lung function indices, and IgE, FeNO, and EOS levels were compared across groups. ROC curves were used to assess the diagnostic value of IgE, FeNO, and EOS levels for bronchial asthma. Spearman's rank correlation analysis was used to analyze the correlation between IgE, FeNO, EOS and other indicators and asthma severity. RESULTS The levels of IgE, FeNO, and EOS were significantly higher in the asthma group than those in the non-asthma group, while lung function indices, peak expiratory flow rate (PEF) and forced expiratory volume in 1 s (FEV1), were significantly lower (all P < 0.05). The areas under curve (AUCs) of IgE, FeNO, and EOS for the diagnosis of asthma were 0.79, 0.93, and 0.88, respectively. Significant differences were observed in smoking history, family history of asthma, co-existing allergic rhinitis, and combined atopic eczema across different severity groups (all P < 0.05). Spearman's rank correlation analysis showed that IgE, FeNO, and EOS were positively correlated with asthma severity (all P < 0.05), with r s values of 0.718, 0.679, and 0.540, respectively. CONCLUSION IgE, FeNO, and EOS are valuable in diagnosing bronchial asthma in adults. Higher levels of IgE, FeNO, and EOS correspond to increased asthma severity, making these biomarkers useful for assessing asthma severity.
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Affiliation(s)
- Liping Fang
- Department of Respiratory and Critical Care Medicine, Xi’an People’s Hospital (Xi’an Fourth Hospital)Xi’an 710100, Shaanxi, China
| | - Yan Shen
- Department of Respiratory Medicine, Hanzhong People’s HospitalHanzhong 723000, Shaanxi, China
| | - Tao Huang
- Department of Orthopedics, The First Affiliated Hospital of Xi’an Medical UniversityXi’an 710005, Shaanxi, China
| | - Meiman Wu
- Department of Respiratory and Critical Care Medicine, Xi’an People’s Hospital (Xi’an Fourth Hospital)Xi’an 710100, Shaanxi, China
| | - Xinglong Duan
- Department of Respiratory Medicine, Hanzhong People’s HospitalHanzhong 723000, Shaanxi, China
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Herrera-Luis E, Benke K, Volk H, Ladd-Acosta C, Wojcik GL. Gene-environment interactions in human health. Nat Rev Genet 2024; 25:768-784. [PMID: 38806721 DOI: 10.1038/s41576-024-00731-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/03/2024] [Indexed: 05/30/2024]
Abstract
Gene-environment interactions (G × E), the interplay of genetic variation with environmental factors, have a pivotal impact on human complex traits and diseases. Statistically, G × E can be assessed by determining the deviation from expectation of predictive models based solely on the phenotypic effects of genetics or environmental exposures. Despite the unprecedented, widespread and diverse use of G × E analytical frameworks, heterogeneity in their application and reporting hinders their applicability in public health. In this Review, we discuss study design considerations as well as G × E analytical frameworks to assess polygenic liability dependent on the environment, to identify specific genetic variants exhibiting G × E, and to characterize environmental context for these dynamics. We conclude with recommendations to address the most common challenges and pitfalls in the conceptualization, methodology and reporting of G × E studies, as well as future directions.
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Affiliation(s)
- Esther Herrera-Luis
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kelly Benke
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Heather Volk
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Genevieve L Wojcik
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
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Fernández-Carrión R, Sorlí JV, Asensio EM, Pascual EC, Portolés O, Alvarez-Sala A, Francès F, Ramírez-Sabio JB, Pérez-Fidalgo A, Villamil LV, Tinahones FJ, Estruch R, Ordovas JM, Coltell O, Corella D. DNA-Methylation Signatures of Tobacco Smoking in a High Cardiovascular Risk Population: Modulation by the Mediterranean Diet. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:3635. [PMID: 36834337 PMCID: PMC9964856 DOI: 10.3390/ijerph20043635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 02/15/2023] [Accepted: 02/16/2023] [Indexed: 06/18/2023]
Abstract
Biomarkers based on DNA methylation are relevant in the field of environmental health for precision health. Although tobacco smoking is one of the factors with a strong and consistent impact on DNA methylation, there are very few studies analyzing its methylation signature in southern European populations and none examining its modulation by the Mediterranean diet at the epigenome-wide level. We examined blood methylation smoking signatures on the EPIC 850 K array in this population (n = 414 high cardiovascular risk subjects). Epigenome-wide methylation studies (EWASs) were performed analyzing differential methylation CpG sites by smoking status (never, former, and current smokers) and the modulation by adherence to a Mediterranean diet score was explored. Gene-set enrichment analysis was performed for biological and functional interpretation. The predictive value of the top differentially methylated CpGs was analyzed using receiver operative curves. We characterized the DNA methylation signature of smoking in this Mediterranean population by identifying 46 differentially methylated CpGs at the EWAS level in the whole population. The strongest association was observed at the cg21566642 (p = 2.2 × 10-32) in the 2q37.1 region. We also detected other CpGs that have been consistently reported in prior research and discovered some novel differentially methylated CpG sites in subgroup analyses. In addition, we found distinct methylation profiles based on the adherence to the Mediterranean diet. Particularly, we obtained a significant interaction between smoking and diet modulating the cg5575921 methylation in the AHRR gene. In conclusion, we have characterized biomarkers of the methylation signature of tobacco smoking in this population, and suggest that the Mediterranean diet can increase methylation of certain hypomethylated sites.
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Affiliation(s)
- Rebeca Fernández-Carrión
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - José V. Sorlí
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Eva M. Asensio
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Eva C. Pascual
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
| | - Olga Portolés
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Andrea Alvarez-Sala
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
| | - Francesc Francès
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | | | - Alejandro Pérez-Fidalgo
- Department of Medical Oncology, University Clinic Hospital of Valencia, 46010 Valencia, Spain
- Biomedical Research Networking Centre on Cancer (CIBERONC), Health Institute Carlos III, 28029 Madrid, Spain
- INCLIVA Biomedical Research Institute, 46010 Valencia, Spain
| | - Laura V. Villamil
- Department of Physiology, School of Medicine, University Antonio Nariño, Bogotá 111511, Colombia
| | - Francisco J. Tinahones
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, 29590 Málaga, Spain
| | - Ramon Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Internal Medicine, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - Jose M. Ordovas
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Nutrition and Genomics Laboratory, JM-USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA 02111, USA
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, UAM + CSIC, 28049 Madrid, Spain
| | - Oscar Coltell
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Computer Languages and Systems, Universitat Jaume I, 12071 Castellón, Spain
| | - Dolores Corella
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
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Braun M, Klingelhöfer D, Oremek GM, Quarcoo D, Groneberg DA. Influence of Second-Hand Smoke and Prenatal Tobacco Smoke Exposure on Biomarkers, Genetics and Physiological Processes in Children-An Overview in Research Insights of the Last Few Years. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E3212. [PMID: 32380770 PMCID: PMC7246681 DOI: 10.3390/ijerph17093212] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 04/16/2020] [Accepted: 04/29/2020] [Indexed: 02/07/2023]
Abstract
Children are commonly exposed to second-hand smoke (SHS) in the domestic environment or inside vehicles of smokers. Unfortunately, prenatal tobacco smoke (PTS) exposure is still common, too. SHS is hazardous to the health of smokers and non-smokers, but especially to that of children. SHS and PTS increase the risk for children to develop cancers and can trigger or worsen asthma and allergies, modulate the immune status, and is harmful to lung, heart and blood vessels. Smoking during pregnancy can cause pregnancy complications and poor birth outcomes as well as changes in the development of the foetus. Lately, some of the molecular and genetic mechanisms that cause adverse health effects in children have been identified. In this review, some of the current insights are discussed. In this regard, it has been found in children that SHS and PTS exposure is associated with changes in levels of enzymes, hormones, and expression of genes, micro RNAs, and proteins. PTS and SHS exposure are major elicitors of mechanisms of oxidative stress. Genetic predisposition can compound the health effects of PTS and SHS exposure. Epigenetic effects might influence in utero gene expression and disease susceptibility. Hence, the limitation of domestic and public exposure to SHS as well as PTS exposure has to be in the focus of policymakers and the public in order to save the health of children at an early age. Global substantial smoke-free policies, health communication campaigns, and behavioural interventions are useful and should be mandatory.
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Affiliation(s)
- Markus Braun
- Institute of Occupational Medicine, Social Medicine and Environmental Medicine, Goethe University Frankfurt, D-60590 Frankfurt, Germany; (D.K.); (G.M.O.); (D.Q.); (D.A.G.)
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