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Mihai A, Mititelu M, Matei M, Lupu EC, Streba L, Vladu IM, Iovănescu ML, Cioboată R, Călărașu C, Busnatu ȘS, Streba CT. Assessment of Behavioral Risk Factors in Chronic Obstructive Airway Diseases of the Lung Associated with Metabolic Syndrome. J Clin Med 2024; 13:1037. [PMID: 38398353 PMCID: PMC10889340 DOI: 10.3390/jcm13041037] [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: 12/30/2023] [Revised: 02/05/2024] [Accepted: 02/09/2024] [Indexed: 02/25/2024] Open
Abstract
BACKGROUND Diet and lifestyle play important roles in preventing and improving chronic diseases, and evaluating behavioral risk factors in these pathologies allows for efficient management. METHODS A clinical study by screening biochemical parameters and pulmonary function was carried out to evaluate behavioral risk factors in obstructive pulmonary disease associated with metabolic syndrome. RESULTS Of the total of 70 patients included in the clinical study, 46 were men and 24 were women (χ2 = 3.9, p = 0.168). Forty-eight patients presented at least three met risk criteria associated with the metabolic syndrome (19 women and 29 men). Regarding the assessment of lung function, only 7 of the patients presented normal spirometry values (χ2 = 75.28, p < 0.001), and the other 63 patients presented with ventilatory dysfunction; most (over 80%) declared that they were smokers or had smoked in the past (χ2 = 5.185, p = 0.075). In terms of body weight, 45 of the patients are overweight or obese, most of them declaring that they do not consume enough vegetable products, they consume large amounts of foods of animal origin (meat, milk, eggs) but also super processed foods (food products type of junk food), do not hydrate properly, and are predominantly sedentary people (54 of the patients do no physical activity at all; χ2 = 2.12, p = 0.713). CONCLUSION From the statistical processing of the data, it is noted that insufficient hydration, low consumption of vegetables, increased consumption of hyper-caloric food products rich in additives, sedentary lifestyle, and smoking are the main disruptive behavioral factors that worsen the health status in lung disease associated with the metabolic syndrome. An important conclusion emerging from the study is that the imbalances that aggravate obstructive lung diseases are generated by unhealthy food and an unbalanced lifestyle.
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Affiliation(s)
- Andreea Mihai
- Department of Pulmonology, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania;
| | - Magdalena Mititelu
- Faculty of Pharmacy, “Carol Davila” University of Medicine and Pharmacy, 020956 Bucharest, Romania; (R.C.); (C.C.); (C.T.S.)
| | - Marius Matei
- Department of Histology, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania
| | - Elena Carmen Lupu
- Faculty of Pharmacy, “Ovidius” University of Constanta, 900470 Constanta, Romania;
| | - Liliana Streba
- Department of Oncology, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania;
| | - Ionela Mihaela Vladu
- Department of Diabetes, Nutrition and Metabolic Diseases, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania;
| | - Maria Livia Iovănescu
- Department of Cardiology, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania;
| | - Ramona Cioboată
- Faculty of Pharmacy, “Carol Davila” University of Medicine and Pharmacy, 020956 Bucharest, Romania; (R.C.); (C.C.); (C.T.S.)
| | - Cristina Călărașu
- Faculty of Pharmacy, “Carol Davila” University of Medicine and Pharmacy, 020956 Bucharest, Romania; (R.C.); (C.C.); (C.T.S.)
| | - Ștefan Sebastian Busnatu
- Department of Cardio-Thoracic Pathology, Faculty of Medicine, “Carol Davila” University of Medicine and Pharmacy, 050474 Bucharest, Romania;
| | - Costin Teodor Streba
- Faculty of Pharmacy, “Carol Davila” University of Medicine and Pharmacy, 020956 Bucharest, Romania; (R.C.); (C.C.); (C.T.S.)
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Davis AP, Wiegers TC, Wiegers J, Wyatt B, Johnson RJ, Sciaky D, Barkalow F, Strong M, Planchart A, Mattingly CJ. CTD tetramers: a new online tool that computationally links curated chemicals, genes, phenotypes, and diseases to inform molecular mechanisms for environmental health. Toxicol Sci 2023; 195:155-168. [PMID: 37486259 PMCID: PMC10535784 DOI: 10.1093/toxsci/kfad069] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/25/2023] Open
Abstract
The molecular mechanisms connecting environmental exposures to adverse endpoints are often unknown, reflecting knowledge gaps. At the Comparative Toxicogenomics Database (CTD), we developed a bioinformatics approach that integrates manually curated, literature-based interactions from CTD to generate a "CGPD-tetramer": a 4-unit block of information organized as a step-wise molecular mechanism linking an initiating Chemical, an interacting Gene, a Phenotype, and a Disease outcome. Here, we describe a novel, user-friendly tool called CTD Tetramers that generates these evidence-based CGPD-tetramers for any curated chemical, gene, phenotype, or disease of interest. Tetramers offer potential solutions for the unknown underlying mechanisms and intermediary phenotypes connecting a chemical exposure to a disease. Additionally, multiple tetramers can be assembled to construct detailed modes-of-action for chemical-induced disease pathways. As well, tetramers can help inform environmental influences on adverse outcome pathways (AOPs). We demonstrate the tool's utility with relevant use cases for a variety of environmental chemicals (eg, perfluoroalkyl substances, bisphenol A), phenotypes (eg, apoptosis, spermatogenesis, inflammatory response), and diseases (eg, asthma, obesity, male infertility). Finally, we map AOP adverse outcome terms to corresponding CTD terms, allowing users to query for tetramers that can help augment AOP pathways with additional stressors, genes, and phenotypes, as well as formulate potential AOP disease networks (eg, liver cirrhosis and prostate cancer). This novel tool, as part of the complete suite of tools offered at CTD, provides users with computational datasets and their supporting evidence to potentially fill exposure knowledge gaps and develop testable hypotheses about environmental health.
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Affiliation(s)
- Allan Peter Davis
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina 27695, USA
| | - Thomas C Wiegers
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina 27695, USA
| | - Jolene Wiegers
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina 27695, USA
| | - Brent Wyatt
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina 27695, USA
| | - Robin J Johnson
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina 27695, USA
| | - Daniela Sciaky
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina 27695, USA
| | - Fern Barkalow
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina 27695, USA
| | - Melissa Strong
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina 27695, USA
| | - Antonio Planchart
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina 27695, USA
- Center for Human Health and the Environment, North Carolina State University, Raleigh, North Carolina 27695, USA
| | - Carolyn J Mattingly
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina 27695, USA
- Center for Human Health and the Environment, North Carolina State University, Raleigh, North Carolina 27695, USA
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Chen Z, Wasti B, Shang Y, Ouyang R, Yuan Y, He Y, Duan W, Jia J, Xiao B, Zhang D, Liu S, Song Q, Zeng Y, Zeng Q, Zhang X, Li J, Ji X, Chen P, Ma L, Xiang X. Different clinical characteristics of current smokers and former smokers with asthma: a cross-sectional study of adult asthma patients in China. Sci Rep 2023; 13:1035. [PMID: 36658236 PMCID: PMC9852572 DOI: 10.1038/s41598-022-22953-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 10/21/2022] [Indexed: 01/20/2023] Open
Abstract
Smoking is a trigger for asthma, which has led to an increase in asthma incidence in China. In smokers, asthma management starts with smoking cessation. Data on predictors of smoking cessation in Chinese patients with asthma are scarce. The objective of this study was to find the differences in clinical characteristics between current smokers and former smokers with asthma in order to identify factors associated with smoking cessation. Eligible adults with diagnosed asthma and smoking from the hospital outpatient clinics (n = 2312) were enrolled and underwent a clinical evaluation, asthma control test (ACT), and pulmonary function test. Information on demographic and sociological data, lung function, laboratory tests, ACT and asthma control questionnaire (ACQ) scores was recorded. Patients were divided into a current smokers group and a former smokers group based on whether they had quit smoking. Logistic regression analysis was used to analyze the factors associated with smoking cessation. Of all patients with asthma, 34.6% were smokers and 65.4% were former smokers, and the mean age was 54.5 ± 11.5 years. Compared with current smokers, the former smokers were older, had longer duration of asthma, had higher ICS dose, had more partially controlled and uncontrolled asthma, had more pack-years, had smoked for longer, and had worse asthma control. The logistic regression model showed that smoking cessation was positively correlated with age, female sex, pack-years, years of smoking, partially controlled asthma, uncontrolled asthma, and body mass index (BMI), but was negatively correlated with ACT, FEV1, FEV1%predicted, and widowed status. More than 30% of asthma patients in the study were still smoking. Among those who quit smoking, many quit late, often not realizing they need to quit until they have significant breathing difficulties. The related factors of smoking cessation identified in this study indicate that there are still differences between continuing smokers and former smokers, and these factors should be focused on in asthma smoking cessation interventions to improve the prognosis of patients with asthma.
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Affiliation(s)
- Zhifeng Chen
- Department of Respiratory Medicine, Hunan Centre for Evidence-Based Medicine, Research Unit of Respiratory Diseases, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, 410011, Hunan, China
| | - Binaya Wasti
- Department of Respiratory Medicine, Hunan Centre for Evidence-Based Medicine, Research Unit of Respiratory Diseases, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, 410011, Hunan, China
| | - Yulin Shang
- Ophthalmology and Otorhinolaryngology, Zigui County Traditional Chinese Medicine Hospital, 30 Pinghu Avenue, Zigui, 443600, Hubei, China
| | - Ruoyun Ouyang
- Department of Respiratory Medicine, Hunan Centre for Evidence-Based Medicine, Research Unit of Respiratory Diseases, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, 410011, Hunan, China
| | - Yu Yuan
- Department of Respiratory Medicine, Hunan Centre for Evidence-Based Medicine, Research Unit of Respiratory Diseases, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, 410011, Hunan, China
| | - Yi He
- Department of Respiratory Medicine, Hunan Centre for Evidence-Based Medicine, Research Unit of Respiratory Diseases, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, 410011, Hunan, China
| | - Wentao Duan
- Department of Respiratory Medicine, Hunan Centre for Evidence-Based Medicine, Research Unit of Respiratory Diseases, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, 410011, Hunan, China
| | - Jingsi Jia
- Department of Emergency, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, 410011, Hunan, China
| | - Bing Xiao
- Department of Emergency, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, 410011, Hunan, China
| | - Dongshan Zhang
- Department of Emergency, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, 410011, Hunan, China
| | - Shaokun Liu
- Department of Respiratory Medicine, Hunan Centre for Evidence-Based Medicine, Research Unit of Respiratory Diseases, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, 410011, Hunan, China
| | - Qing Song
- Department of Respiratory Medicine, Hunan Centre for Evidence-Based Medicine, Research Unit of Respiratory Diseases, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, 410011, Hunan, China
| | - Yuqin Zeng
- Department of Respiratory Medicine, Hunan Centre for Evidence-Based Medicine, Research Unit of Respiratory Diseases, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, 410011, Hunan, China
| | - Qingping Zeng
- Department of Respiratory and Critical Care Medicine, Longshan County People's Hospital, 50 Yuelu Avenue, Longshan, 416800, Hunan, China
| | - Xiufeng Zhang
- Department of Respiratory Medicine, The Second Affiliated Hospital of Hainan Medical University, 48 Pak Shui Tong Road, Haikou, 570000, Hainan, China
| | - Jianmin Li
- Department of Respiratory and Critical Care Medicine, Hunan Provincial People's Hospital, 61 West Jiefang Road, Changsha, 410005, Hunan, China
| | - Xiaoying Ji
- Department of Respiratory and Critical Care Medicine, The Affiliated Hospital of Guizhou Medical University, 28 Guiyi Street, Guiyang, 550004, Guizhou, China
| | - Ping Chen
- Department of Respiratory Medicine, Hunan Centre for Evidence-Based Medicine, Research Unit of Respiratory Diseases, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, 410011, Hunan, China.
| | - Libing Ma
- Department of Respiratory and Critical Care Medicine, The Affiliated Hospital of Guilin Medical University, 15 Le Qun Road, Guilin, 541001, Guangxi, China.
| | - Xudong Xiang
- Department of Emergency, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, 410011, Hunan, China.
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Wangberg H, Mortazavi D, Kitsen J, Sanni A, Leibel S, Geng B. Dose-dependent association between inhaled corticosteroid use and risk of obesity and metabolic syndrome in asthma. Allergy Asthma Proc 2022; 43:446-453. [PMID: 36065107 DOI: 10.2500/aap.2022.43.220027] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Background: Inhaled corticosteroids (ICS) are widely prescribed medications. Some studies have reported that ICS may suppress the hypothalamic-pituitary-adrenal axis and induce systemic effects. Objective: To explore the possibility of a dose-dependent association between the long-term use of ICS and the risk of obesity and other markers of metabolic syndrome. Methods: A 5-year retrospective two-arm cohort study explored patients on asthma and not on ICS relative to patients with asthma who were on varying doses of ICS (low, medium, and high) and attributes such as body mass index (BMI) trajectory and prescription of antihypertensive, antidiabetic, and cholesterol-lowering medications. Results: A total of 229 subjects with asthma were in the control cohort, and 215 subjects with asthma were in the ICS cohort. The ICS cohort was subdivided into individuals on low- (n = 88), medium- (n = 107), or high- (n = 20) dose ICS throughout the 5-year study period. For every 1-year increase in time, the BMI in the high-dose ICS group increased at a rate of 0.25 kg/m² when compared with the subjects in the control group after controlling for age and gender. Also, for every 1-year increase in time, the BMI of those on medium-dose ICS increased by 0.06 kg/m² compared with those in the control group after controlling for age and gender. The subjects on ICS also had a statistically increased risk of being prescribed antihypertensive, antidiabetic, and cholesterol-lowering medications. Conclusion: ICS use in the subjects with asthma was associated with a dose-dependent risk of increasing BMI trajectories over time and an increased requirement for antidiabetic and cholesterol-lowering medications. One possible conclusion from this study is that long-term medium- and high-dose ICS have the potential to induce systemic effects.
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Affiliation(s)
- Hannah Wangberg
- From the Department of Allergy, Asthma, and Immunology, Scripps Health, San Diego, California; and
| | - Diba Mortazavi
- Department of Allergy and Immunology, University of California San Diego and Rady Children's Hospital, San Diego, California
| | - Jessica Kitsen
- Department of Allergy and Immunology, University of California San Diego and Rady Children's Hospital, San Diego, California
| | - Adepeju Sanni
- Department of Allergy and Immunology, University of California San Diego and Rady Children's Hospital, San Diego, California
| | - Sydney Leibel
- Department of Allergy and Immunology, University of California San Diego and Rady Children's Hospital, San Diego, California
| | - Bob Geng
- Department of Allergy and Immunology, University of California San Diego and Rady Children's Hospital, San Diego, California
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