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      Pathobiological mechanisms underlying metabolic syndrome (MetS) in chronic obstructive pulmonary disease (COPD): clinical significance and therapeutic strategies

      review-article
      , , , *
      Pharmacology & Therapeutics
      The Authors. Published by Elsevier Inc.
      Smoking, obesity, COPD comorbidities, oxidants, metabolic dysregulation, immunometabolism, AECOPD, Acute exacerbation of chronic obstructive pulmonary disease, AM, Alveolar macrophages, AMPK, Adenosine monophosphate-activated protein kinase, COPD, Chronic obstructive pulmonary disease, CRP, C-reactive protein, CVD, Cardiovascular disease, FEV1, Forced expiratory volume in the first second, GOLD, Global initiative for chronic obstructive lung disease, HIF, Hypoxia-inducible factor, IL-8, Interleukin 8, LDL, Low density lipoprotein, MetS, Metabolic syndrome, NAFLD, Non-alcoholic fatty liver disease, ROS, Reactive oxygen species, SREBP-1c, Sterol response element binding protein-1c, TNF-α, Tumour necrosis factor-α, VLDL, Very low density lipoprotein

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          Abstract

          Chronic obstructive pulmonary disease (COPD) is a major incurable global health burden and is currently the 4th largest cause of death in the world. Importantly, much of the disease burden and health care utilisation in COPD is associated with the management of its comorbidities (e.g. skeletal muscle wasting, ischemic heart disease, cognitive dysfunction) and infective viral and bacterial acute exacerbations (AECOPD). Current pharmacological treatments for COPD are relatively ineffective and the development of effective therapies has been severely hampered by the lack of understanding of the mechanisms and mediators underlying COPD. Since comorbidities have a tremendous impact on the prognosis and severity of COPD, the 2015 American Thoracic Society/European Respiratory Society (ATS/ERS) Research Statement on COPD urgently called for studies to elucidate the pathobiological mechanisms linking COPD to its comorbidities. It is now emerging that up to 50% of COPD patients have metabolic syndrome (MetS) as a comorbidity. It is currently not clear whether metabolic syndrome is an independent co-existing condition or a direct consequence of the progressive lung pathology in COPD patients. As MetS has important clinical implications on COPD outcomes, identification of disease mechanisms linking COPD to MetS is the key to effective therapy. In this comprehensive review, we discuss the potential mechanisms linking MetS to COPD and hence plausible therapeutic strategies to treat this debilitating comorbidity of COPD.

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          Oxidative metabolism and PGC-1beta attenuate macrophage-mediated inflammation.

          Complex interplay between T helper (Th) cells and macrophages contributes to the formation and progression of atherosclerotic plaques. While Th1 cytokines promote inflammatory activation of lesion macrophages, Th2 cytokines attenuate macrophage-mediated inflammation and enhance their repair functions. In spite of its biologic importance, the biochemical and molecular basis of how Th2 cytokines promote maturation of anti-inflammatory macrophages is not understood. We show here that in response to interleukin-4 (IL-4), signal transducer and activator of transcription 6 (STAT6) and PPARgamma-coactivator-1beta (PGC-1beta) induce macrophage programs for fatty acid oxidation and mitochondrial biogenesis. Transgenic expression of PGC-1beta primes macrophages for alternative activation and strongly inhibits proinflammatory cytokine production, whereas inhibition of oxidative metabolism or RNAi-mediated knockdown of PGC-1beta attenuates this immune response. These data elucidate a molecular pathway that directly links mitochondrial oxidative metabolism to the anti-inflammatory program of macrophage activation, suggesting a potential role for metabolic therapies in treating atherogenic inflammation.
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            Active smoking and the risk of type 2 diabetes: a systematic review and meta-analysis.

            Observational studies have suggested an association between active smoking and the incidence of type 2 diabetes. To conduct a systematic review with meta-analysis of studies assessing the association between active smoking and incidence of type 2 diabetes. A search of MEDLINE (1966 to May 2007) and EMBASE (1980 to May 2007) databases was supplemented by manual searches of bibliographies of key retrieved articles, reviews of abstracts from scientific meetings, and contact with experts. Studies were included if they reported risk of impaired fasting glucose, impaired glucose tolerance, or type 2 diabetes in relationship to smoking status at baseline; had a cohort design; and excluded persons with diabetes at baseline. Two authors independently extracted the data, including the presence or absence of active smoking at baseline, the risk of diabetes, methods used to detect diabetes, and key criteria of study quality. Relative risks (RRs) were pooled using a random-effects model. Associations were tested in subgroups representing different patient characteristics and study quality criteria. The search yielded 25 prospective cohort studies (N = 1.2 million participants) that reported 45 844 incident cases of diabetes during a study follow-up period ranging from 5 to 30 years. Of the 25 studies, 24 reported adjusted RRs greater than 1 (range for all studies, 0.82-3.74). The pooled adjusted RR was 1.44 (95% confidence interval [CI], 1.31-1.58). Results were consistent and statistically significant in all subgroups. The risk of diabetes was greater for heavy smokers (> or =20 cigarettes/day; RR, 1.61; 95% CI, 1.43-1.80) than for lighter smokers (RR,1.29; 95% CI, 1.13-1.48) and lower for former smokers (RR, 1.23; 95% CI, 1.14-1.33) compared with active smokers, consistent with a dose-response phenomenon. Active smoking is associated with an increased risk of type 2 diabetes. Future research should attempt to establish whether this association is causal and to clarify its mechanisms.
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              Association between chronic obstructive pulmonary disease and systemic inflammation: a systematic review and a meta-analysis.

              Individuals with chronic obstructive pulmonary disease (COPD) are at increased risk of cardiovascular diseases, osteoporosis, and muscle wasting. Systemic inflammation may be involved in the pathogenesis of these disorders. A study was undertaken to determine whether systemic inflammation is present in stable COPD. A systematic review was conducted of studies which reported on the relationship between COPD, forced expiratory volume in 1 second (FEV(1)) or forced vital capacity (FVC), and levels of various systemic inflammatory markers: C-reactive protein (CRP), fibrinogen, leucocytes, tumour necrosis factor-alpha (TNF-alpha), and interleukins 6 and 8. Where possible the results were pooled together to produce a summary estimate using a random or fixed effects model. Fourteen original studies were identified. Overall, the standardised mean difference in the CRP level between COPD and control subjects was 0.53 units (95% confidence interval (CI) 0.34 to 0.72). The standardised mean difference in the fibrinogen level was 0.47 units (95% CI 0.29 to 0.65). Circulating leucocytes were also higher in COPD than in control subjects (standardised mean difference 0.44 units (95% CI 0.20 to 0.67)), as were serum TNF-alpha levels (standardised mean difference 0.59 units (95% CI 0.29 to 0.89)). Reduced lung function is associated with increased levels of systemic inflammatory markers which may have important pathophysiological and therapeutic implications for subjects with stable COPD.
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                Author and article information

                Contributors
                Journal
                Pharmacol Ther
                Pharmacol. Ther
                Pharmacology & Therapeutics
                The Authors. Published by Elsevier Inc.
                0163-7258
                1879-016X
                26 February 2019
                June 2019
                26 February 2019
                : 198
                : 160-188
                Affiliations
                School of Health and Biomedical Sciences, RMIT University, Bundoora, VIC 3083, Australia
                Author notes
                [* ]Corresponding author at: School of Health and Biomedical Sciences, RMIT University, PO Box 71, Bundoora, VIC 3083, Australia. ross.vlahos@ 123456rmit.edu.au
                Article
                S0163-7258(19)30033-6
                10.1016/j.pharmthera.2019.02.013
                7112632
                30822464
                5bdc0658-5899-4123-ad87-464e46d1d0dd
                © 2019 The Authors

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

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                Article

                Pharmacology & Pharmaceutical medicine
                smoking,obesity,copd comorbidities,oxidants,metabolic dysregulation,immunometabolism,aecopd, acute exacerbation of chronic obstructive pulmonary disease,am, alveolar macrophages,ampk, adenosine monophosphate-activated protein kinase,copd, chronic obstructive pulmonary disease,crp, c-reactive protein,cvd, cardiovascular disease,fev1, forced expiratory volume in the first second,gold, global initiative for chronic obstructive lung disease,hif, hypoxia-inducible factor,il-8, interleukin 8,ldl, low density lipoprotein,mets, metabolic syndrome,nafld, non-alcoholic fatty liver disease,ros, reactive oxygen species,srebp-1c, sterol response element binding protein-1c,tnf-α, tumour necrosis factor-α,vldl, very low density lipoprotein

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