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Song CK, Ohlei O, Keller T, Regitz-Zagrosek V, Toepfer S, Steinhagen-Thiessen E, Bertram L, Buchmann N, Demuth I. Lipoprotein(a) and Lung Function Are Associated in Older Adults: Longitudinal and Cross-Sectional Analyses. Biomedicines 2024; 12:1502. [PMID: 39062075 PMCID: PMC11274407 DOI: 10.3390/biomedicines12071502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Revised: 06/12/2024] [Accepted: 07/01/2024] [Indexed: 07/28/2024] Open
Abstract
While numerous studies have confirmed a causal association between lipoprotein(a) [Lp(a)] and cardiovascular diseases, only a few studies have assessed the relationship between Lp(a) and pulmonary health, with inconsistent findings regarding this topic. This study's aim was to examine whether levels of serum Lp(a) are associated with lung function in a dataset of relatively healthy older adults. We used longitudinal data collected at two time points 7.4 ± 1.5 years apart from 679 participants (52% women, 68 [65-71] years old) from the Berlin Aging Study II (BASE-II). Multiple linear regression models adjusting for covariates were applied to examine the association between Lp(a) and lung function. The forced expiratory volume in one second (FEV1) and the forced vital capacity (FVC) were higher in both men and women with higher Lp(a) levels. However, since this association between lung function parameters and Lp(a) was not supported by Mendelian randomization analyses using recent genome-wide association study data, these relationships should be investigated in future work, as the observed differences are, in part, considerable and potentially clinically relevant.
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Affiliation(s)
- Chae Kyung Song
- Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Endocrinology and Metabolic Diseases (Including Division of Lipid Metabolism), Augustenburger Platz 1, 13353 Berlin, Germany
| | - Olena Ohlei
- Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), University of Lübeck, 23562 Lübeck, Germany
| | - Theresa Keller
- Institute of Biometry and Clinical Epidemiology, Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Reinhardtstraße 58, 10117 Berlin, Germany
| | - Vera Regitz-Zagrosek
- Institute for Gender in Medicine, Center for Cardiovascular Research, Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, 10099 Berlin, Germany
- Department of Cardiology, University Hospital Zürich, University of Zürich, 8057 Zürich, Switzerland
| | - Sarah Toepfer
- Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Endocrinology and Metabolic Diseases (Including Division of Lipid Metabolism), Augustenburger Platz 1, 13353 Berlin, Germany
| | - Elisabeth Steinhagen-Thiessen
- Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Endocrinology and Metabolic Diseases (Including Division of Lipid Metabolism), Augustenburger Platz 1, 13353 Berlin, Germany
| | - Lars Bertram
- Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), University of Lübeck, 23562 Lübeck, Germany
| | - Nikolaus Buchmann
- Department of Cardiology, Charité–University Medicine Berlin, Campus Benjamin Franklin, 10117 Berlin, Germany
| | - Ilja Demuth
- Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Endocrinology and Metabolic Diseases (Including Division of Lipid Metabolism), Augustenburger Platz 1, 13353 Berlin, Germany
- Charité–Universitätsmedizin Berlin, BCRT-Berlin Institute of Health Center for Regenerative Therapies, 10117 Berlin, Germany
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Hobbins L, Hunter S, Gaoua N, Girard O. Normobaric hypoxic conditioning to maximize weight loss and ameliorate cardio-metabolic health in obese populations: a systematic review. Am J Physiol Regul Integr Comp Physiol 2017; 313:R251-R264. [PMID: 28679682 DOI: 10.1152/ajpregu.00160.2017] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2017] [Revised: 06/23/2017] [Accepted: 07/04/2017] [Indexed: 02/07/2023]
Abstract
Normobaric hypoxic conditioning (HC) is defined as exposure to systemic and/or local hypoxia at rest (passive) or combined with exercise training (active). HC has been previously used by healthy and athletic populations to enhance their physical capacity and improve performance in the lead up to competition. Recently, HC has also been applied acutely (single exposure) and chronically (repeated exposure over several weeks) to overweight and obese populations with the intention of managing and potentially increasing cardio-metabolic health and weight loss. At present, it is unclear what the cardio-metabolic health and weight loss responses of obese populations are in response to passive and active HC. Exploration of potential benefits of exposure to both passive and active HC may provide pivotal findings for improving health and well being in these individuals. A systematic literature search for articles published between 2000 and 2017 was carried out. Studies investigating the effects of normobaric HC as a novel therapeutic approach to elicit improvements in the cardio-metabolic health and weight loss of obese populations were included. Studies investigated passive (n = 7; 5 animals, 2 humans), active (n = 4; all humans) and a combination of passive and active (n = 4; 3 animals, 1 human) HC to an inspired oxygen fraction ([Formula: see text]) between 4.8 and 15.0%, ranging between a single session and daily sessions per week, lasting from 5 days up to 8 mo. Passive HC led to reduced insulin concentrations (-37 to -22%) in obese animals and increased energy expenditure (+12 to +16%) in obese humans, whereas active HC lead to reductions in body weight (-4 to -2%) in obese animals and humans, and blood pressure (-8 to -3%) in obese humans compared with a matched workload in normoxic conditions. Inconclusive findings, however, exist in determining the impact of acute and chronic HC on markers such as triglycerides, cholesterol levels, and fitness capacity. Importantly, most of the studies that included animal models involved exposure to severe levels of hypoxia ([Formula: see text] = 5.0%; simulated altitude >10,000 m) that are not suitable for human populations. Overall, normobaric HC demonstrated observable positive findings in relation to insulin and energy expenditure (passive), and body weight and blood pressure (active), which may improve the cardio-metabolic health and body weight management of obese populations. However, further evidence on responses of circulating biomarkers to both passive and active HC in humans is warranted.
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Affiliation(s)
- L Hobbins
- Sport and Exercise Science Research Centre, London South Bank University, London, United Kingdom;
| | - S Hunter
- Sport and Exercise Science Research Centre, London South Bank University, London, United Kingdom
| | - N Gaoua
- Sport and Exercise Science Research Centre, London South Bank University, London, United Kingdom
| | - O Girard
- Athlete Health and Performance Research Centre, Aspetar Orthopaedic and Sports Medicine Hospital, Doha, Qatar; and.,Institute of Sport Sciences, University of Lausanne, Switzerland
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Barochia AV, Gordon EM, Kaler M, Cuento RA, Theard P, Figueroa DM, Yao X, Weir NA, Sampson ML, Stylianou M, Choy DF, Holweg CTJ, Remaley AT, Levine SJ. High density lipoproteins and type 2 inflammatory biomarkers are negatively correlated in atopic asthmatics. J Lipid Res 2017; 58:1713-1721. [PMID: 28655726 DOI: 10.1194/jlr.p077776] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2017] [Revised: 06/20/2017] [Indexed: 12/17/2022] Open
Abstract
Blood eosinophil counts and serum periostin levels are biomarkers of type 2 inflammation. Although serum levels of HDL and apoA-I have been associated with less severe airflow obstruction in asthma, it is not known whether serum lipids or lipoprotein particles are correlated with type 2 inflammation in asthmatics. Here, we assessed whether serum lipids and lipoproteins correlated with blood eosinophil counts or serum periostin levels in 165 atopic asthmatics and 163 nonasthmatic subjects with and without atopy. Serum lipids and lipoproteins were quantified using standard laboratory assays and NMR spectroscopy. Absolute blood eosinophils were quantified by complete blood counts. Periostin levels were measured using the Elecsys® periostin assay. In atopic asthmatics, blood eosinophils negatively correlated with serum HDL cholesterol and total HDL particles measured by NMR spectroscopy (HDLNMR). Serum periostin levels negatively correlated with total HDLNMR In contrast, blood eosinophil counts positively correlated with serum triglyceride levels. This study demonstrates for the first time that HDL particles were negatively correlated, whereas serum triglycerides were positively correlated, with blood eosinophils in atopic asthmatics. This supports the concept that serum levels of HDL and triglycerides may be linked to systemic type 2 inflammation in atopic asthma.
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Affiliation(s)
- Amisha V Barochia
- Laboratory of Asthma and Lung Inflammation, National Institutes of Health, Bethesda, MD 20892.
| | - Elizabeth M Gordon
- Laboratory of Asthma and Lung Inflammation, National Institutes of Health, Bethesda, MD 20892
| | - Maryann Kaler
- Laboratory of Asthma and Lung Inflammation, National Institutes of Health, Bethesda, MD 20892
| | - Rosemarie A Cuento
- Laboratory of Asthma and Lung Inflammation, National Institutes of Health, Bethesda, MD 20892
| | - Patricia Theard
- Laboratory of Asthma and Lung Inflammation, National Institutes of Health, Bethesda, MD 20892
| | - Debbie M Figueroa
- Laboratory of Asthma and Lung Inflammation, National Institutes of Health, Bethesda, MD 20892
| | - Xianglan Yao
- Laboratory of Asthma and Lung Inflammation, National Institutes of Health, Bethesda, MD 20892
| | - Nargues A Weir
- Laboratory of Asthma and Lung Inflammation, National Institutes of Health, Bethesda, MD 20892
| | - Maureen L Sampson
- National Institutes of Health Clinical Center, National Institutes of Health, Bethesda, MD 20892
| | - Mario Stylianou
- Cardiovascular and Pulmonary Branch, and Office of Biostatistics Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892
| | | | | | - Alan T Remaley
- Lipoprotein Metabolism Section,National Institutes of Health, Bethesda, MD 20892
| | - Stewart J Levine
- Laboratory of Asthma and Lung Inflammation, National Institutes of Health, Bethesda, MD 20892
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Kankaanranta H, Kauppi P, Tuomisto LE, Ilmarinen P. Emerging Comorbidities in Adult Asthma: Risks, Clinical Associations, and Mechanisms. Mediators Inflamm 2016; 2016:3690628. [PMID: 27212806 PMCID: PMC4861800 DOI: 10.1155/2016/3690628] [Citation(s) in RCA: 64] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2015] [Revised: 12/01/2015] [Accepted: 12/02/2015] [Indexed: 01/07/2023] Open
Abstract
Asthma is a heterogeneous disease with many phenotypes, and age at disease onset is an important factor in separating the phenotypes. Most studies with asthma have been performed in patients being otherwise healthy. However, in real life, comorbid diseases are very common in adult patients. We review here the emerging comorbid conditions to asthma such as obesity, metabolic syndrome, diabetes mellitus type 2 (DM2), and cardiac and psychiatric diseases. Their role as risk factors for incident asthma and whether they affect clinical asthma are evaluated. Obesity, independently or as a part of metabolic syndrome, DM2, and depression are risk factors for incident asthma. In contrast, the effects of comorbidities on clinical asthma are less well-known and mostly studies are lacking. Cross-sectional studies in obese asthmatics suggest that they may have less well controlled asthma and worse lung function. However, no long-term clinical follow-up studies with these comorbidities and asthma were identified. These emerging comorbidities often occur in the same multimorbid adult patient and may have in common metabolic pathways and inflammatory or other alterations such as early life exposures, systemic inflammation, inflammasome, adipokines, hyperglycemia, hyperinsulinemia, lung mechanics, mitochondrial dysfunction, disturbed nitric oxide metabolism, and leukotrienes.
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Affiliation(s)
- Hannu Kankaanranta
- Department of Respiratory Medicine, Seinäjoki Central Hospital, 60220 Seinäjoki, Finland
- Department of Respiratory Medicine, University of Tampere, 33521 Tampere, Finland
| | - Paula Kauppi
- Department of Respiratory Medicine and Allergology, Skin and Allergy Hospital, Helsinki University Hospital and Helsinki University, 00029 Helsinki, Finland
| | - Leena E. Tuomisto
- Department of Respiratory Medicine, Seinäjoki Central Hospital, 60220 Seinäjoki, Finland
| | - Pinja Ilmarinen
- Department of Respiratory Medicine, Seinäjoki Central Hospital, 60220 Seinäjoki, Finland
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