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Suhett LG, Hermsdorff HHM, Rocha NP, Silva MA, Filgueiras MDS, Milagres LC, Peluzio MDCG, de Novaes JF. Increased C-Reactive Protein in Brazilian Children: Association with Cardiometabolic Risk and Metabolic Syndrome Components (PASE Study). Cardiol Res Pract 2019; 2019:3904568. [PMID: 31143476 PMCID: PMC6501180 DOI: 10.1155/2019/3904568] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Accepted: 03/03/2019] [Indexed: 12/19/2022] Open
Abstract
C-reactive protein (CRP) is a marker of subclinical inflammation that has been found to be associated with cardiovascular disease risk. However, few studies have investigated the relationship between CRP and cardiometabolic markers in a representative sample of prepubescent children. The objective was to evaluate the high-sensitive CRP (hs-CRP) and its association with traditional and nontraditional cardiometabolic risk factors, as well as metabolic syndrome (MetS) components in Brazilian children. This is a cross-sectional representative study, with participants of the Schoolchildren Health Assessment Survey (PASE). Children from 8 to 9 years old (n=350) enrolled in public and private schools in the municipality of Viçosa, Minas Gerais, Brazil, were evaluated. Sociodemographic evaluation was performed through a semistructured questionnaire. Anthropometric, body composition, clinical, and biochemical measures were analyzed for cardiometabolic risk assessment. The total mean of serum hs-CRP concentration was 0.62 (±1.44) mg/L. hs-CRP was significantly correlated with several anthropometric, biochemical, and clinical parameters in this population (P < 0.05). hs-CRP was positively associated with the accumulation of cardiometabolic risk factors and MetS components (P < 0.05). Children with excessive weight; abdominal obesity; increased gynoid and android body fat; low HDL-c; hyperglycemia; and elevated uric acid, homocysteine, and apoB had higher chances of presenting increased hs-CRP (P < 0.05). In this study, Brazilian children with cardiometabolic risk already presented elevated serum hs-CRP concentration. hs-CRP was associated with the increase of traditional and nontraditional cardiometabolic risk factors, as well as the accumulation of MetS components.
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Affiliation(s)
- Lara Gomes Suhett
- Department of Nutrition and Health, Universidade Federal de Viçosa (UFV), Av. P.H. Rolfs s/n, Campus Universitário, CEP 36570-900 Viçosa, Minas Gerais, Brazil
| | - Helen Hermana Miranda Hermsdorff
- Department of Nutrition and Health, Universidade Federal de Viçosa (UFV), Av. P.H. Rolfs s/n, Campus Universitário, CEP 36570-900 Viçosa, Minas Gerais, Brazil
| | - Naruna Pereira Rocha
- Department of Nutrition and Health, Universidade Federal de Viçosa (UFV), Av. P.H. Rolfs s/n, Campus Universitário, CEP 36570-900 Viçosa, Minas Gerais, Brazil
| | - Mariane Alves Silva
- Department of Nutrition and Health, Universidade Federal de Viçosa (UFV), Av. P.H. Rolfs s/n, Campus Universitário, CEP 36570-900 Viçosa, Minas Gerais, Brazil
| | - Mariana De Santis Filgueiras
- Department of Nutrition and Health, Universidade Federal de Viçosa (UFV), Av. P.H. Rolfs s/n, Campus Universitário, CEP 36570-900 Viçosa, Minas Gerais, Brazil
| | - Luana Cupertino Milagres
- Department of Nutrition and Health, Universidade Federal de Viçosa (UFV), Av. P.H. Rolfs s/n, Campus Universitário, CEP 36570-900 Viçosa, Minas Gerais, Brazil
| | - Maria do Carmo Gouveia Peluzio
- Department of Nutrition and Health, Universidade Federal de Viçosa (UFV), Av. P.H. Rolfs s/n, Campus Universitário, CEP 36570-900 Viçosa, Minas Gerais, Brazil
| | - Juliana Farias de Novaes
- Department of Nutrition and Health, Universidade Federal de Viçosa (UFV), Av. P.H. Rolfs s/n, Campus Universitário, CEP 36570-900 Viçosa, Minas Gerais, Brazil
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202
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Oluwajuyitan TD, Ijarotimi OS. Nutritional, antioxidant, glycaemic index and Antihyperglycaemic properties of improved traditional plantain-based ( Musa AAB) dough meal enriched with tigernut ( Cyperus esculentus) and defatted soybean ( Glycine max) flour for diabetic patients. Heliyon 2019; 5:e01504. [PMID: 31025013 PMCID: PMC6475862 DOI: 10.1016/j.heliyon.2019.e01504] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Revised: 03/23/2019] [Accepted: 04/08/2019] [Indexed: 10/27/2022] Open
Abstract
The study aimed at determining nutritional, antioxidant and blood glucose lowering potentials of improved plantain-based dough meals enriched with defatted soybean and tigernut flour. The constituted dough meals [PSB (plantain 64.46, defatted soybean 35.54%), TNS (tigernut 59.83, defatted soybean 40.17%); PTS (plantain 51.07, tigernut, 11.50, defatted soybean, 37.43%); TNT (100% tigernuts); PLT (100% plantain) and CNT (a commercial flour)] were evaluated for nutritional, antioxidant and blood glucose concentration in streptozotocin-induced diabetics rats. The improved dough meals contained appreciable amount of protein, energy value, and high in antioxidative activity than PLT. Blood glucose reducing potential of improved plantain-based dough meals (60.5-71.9%) in streptozotocin-induced diabetic rats was higher than PLT, but comparable to acarbose (anti-diabetic drug) (69%). The present study established that improved traditional plantain-based dough meals (particularly PTS) was high in essential nutrients, antioxidative activities, and blood glucose reducing potentials. Hence, the dough-meals may be suitable for diabetes management.
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203
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El-Ashmawy HM, Selim FO, Hosny TAM, Almassry HN. Association of low serum Meteorin like (Metrnl) concentrations with worsening of glucose tolerance, impaired endothelial function and atherosclerosis. Diabetes Res Clin Pract 2019; 150:57-63. [PMID: 30825562 DOI: 10.1016/j.diabres.2019.02.026] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2018] [Revised: 02/09/2019] [Accepted: 02/25/2019] [Indexed: 11/28/2022]
Abstract
OBJECTIVE Meteorin-like (Metrnl) is a novel secreted protein that has a beneficial effect on glucose homeostasis with anti-inflammatory properties. Our goal is to determine whether low serum Metrnl levels are associated with worsening of glucose tolerance, impaired endothelial function, and atherosclerosis. METHODS This study included 260 adults, 89 of whom had normal oral glucose tolerance (nOGT), 77 with glucose tolerance impairment (GTI) and 94 with type 2 diabetes (T2DM). Insulin resistance was assessed by evaluating the homeostasis model assessment of insulin resistance (HOMA-IR). Serum Metrnl level, proinflammatory, biochemical, endothelial and atherosclerosis parameters were measured. RESULTS Serum Metrnl levels decreased significantly in patients with T2DM versus subjects with nOGT (P < 0.001). Metrnl levels were negatively correlated with fasting blood glucose, 2-h postload glucose (2 h-PLG), fasting insulin, HOMA-IR, HbA1c, high-sensitive C-reactive protein (hs-CRP), interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), Carotid intima media thickness (CIMT), brachial-ankle pulse wave velocity (baPWV), intercellular adhesion molecule-1 (ICAM-1), vascular cell adhesion molecule-1 (VCAM-1) and E-selectin. High serum Metrnl level was significantly correlated with reduced risk of T2DM as revealed by multivariate logistic regression analysis after control of potential risk factors for diabetes. Furthermore, the association remains significant after further adjustment for IL-6, TNF-α, hs-CRP, CIMT, baPWV, ICAM-1, VCAM-1 and E-selectin. CONCLUSIONS Low Serum Metrnl may be associated with worsening of glucose tolerance, impaired endothelial function and atherosclerosis. It may also be considered a possible surrogate marker of endothelial dysfunction, and atherosclerosis and an independent risk factor of T2DM.
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Affiliation(s)
- Hazem M El-Ashmawy
- Department of Internal Medicine, Zagazig University, Faculty of Medicine, Egypt.
| | | | - Thoraya A M Hosny
- Department of Clinical Pathology, Zagazig University, Faculty of Medicine, Egypt
| | - Hosam N Almassry
- Department of Radio-diagnosis, Zagazig University, Faculty of Medicine, Egypt
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204
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Afrisham R, Paknejad M, Soliemanifar O, Sadegh-Nejadi S, Meshkani R, Ashtary-Larky D. The Influence of Psychological Stress on the Initiation and Progression of Diabetes and Cancer. Int J Endocrinol Metab 2019; 17:e67400. [PMID: 31372166 PMCID: PMC6628619 DOI: 10.5812/ijem.67400] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Revised: 01/27/2019] [Accepted: 02/25/2019] [Indexed: 12/11/2022] Open
Abstract
CONTEXT Psychological stress can be considered a risk factor for the initiation and progression of many pathological conditions, including type 1 and 2 diabetes mellitus and cancer. OBJECTIVES The aim of this review article was to evaluate the molecular and cellular mechanisms linking psychological stress to the onset and progression of diabetes and cancer. EVIDENCE ACQUISITION The current review was conducted to survey and analyze studies related to the effects of psychological stress on diabetes and cancer. RESULTS Psychological stress may make individuals prone to the development of diabetes through the impairment of the hypothalamic-pituitary-adrenal (HPA) axis function, sympathetic nerves system (SNS), lipid profile, cytokines balance, renin-angiotensin system (RAS), and insulin signaling pathway. Additionally, psychological stress can contribute to the development of cancer through the perturbation in the HPA axis, SNS function, and cytokines balance. Psychological stress is also capable of decreasing the levels of oxytocin and dopamine, leading to an increased risk of cancer in susceptible individuals. CONCLUSIONS It seems that psychological stress plays a significant role in the onset and progression of diabetes and cancer. The identification of the pathways triggered by psychological stress would open up a new avenue for the understanding of molecular mechanisms by which diabetes and cancer could be managed or even prevented.
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Affiliation(s)
- Reza Afrisham
- Department of Clinical Biochemistry, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Corresponding Author: Department of Clinical Biochemistry, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran. Tel: +98-9169396300,
| | - Maliheh Paknejad
- Department of Clinical Biochemistry, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Omid Soliemanifar
- General Department of Education in Khuzestan Province, Department of Education in the City of Khorramshahr, Khorramshahr, Iran
| | - Sahar Sadegh-Nejadi
- Department of Clinical Biochemistry, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Reza Meshkani
- Department of Clinical Biochemistry, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Damoon Ashtary-Larky
- Nutrition and Metabolic Diseases Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
- Department of Clinical Biochemistry, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
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205
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Darooghegi Mofrad M, Milajerdi A, Koohdani F, Surkan PJ, Azadbakht L. Garlic Supplementation Reduces Circulating C-reactive Protein, Tumor Necrosis Factor, and Interleukin-6 in Adults: A Systematic Review and Meta-analysis of Randomized Controlled Trials. J Nutr 2019; 149:605-618. [PMID: 30949665 DOI: 10.1093/jn/nxy310] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2018] [Revised: 06/04/2018] [Accepted: 12/03/2018] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Conflicting findings on the effects of garlic supplementation on inflammatory biomarkers have been observed in randomized clinical trials (RCTs). OBJECTIVES The aim of this study was to summarize study results regarding the effects of garlic supplementation on serum inflammatory biomarkers in adults. METHODS We searched Scopus, PubMed, Google Scholar and Cochrane library databases for relevant papers published until April 2018, using keywords such as "garlic" and "inflammatory biomarker." We included RCTs that 1) were conducted in adults, 2) examined the effects of garlic supplementation on inflammatory biomarkers compared to a control group, and 3) reported sufficient data on inflammatory biomarkers. Results were reported as weighted mean differences (WMD) with 95% CI using random effects models. Cochrane's Q and I-squared (I2) tests were used to determine heterogeneity among studies. Funnel plots and Egger's regression test were used to assess publication bias. RESULTS Sixteen RCTs were included. Garlic doses ranged from 12 to 3600 mg/d, and intervention duration ranged from 2 to 52 wk. Garlic administration significantly reduced serum C-reactive protein (CRP) (n = 13) (WMD: -0.61 mg/L, 95% CI: -1.12, -0.11, P = 0.018, I2 = 76.9%), IL-6 (n = 5) (WMD: -0.73 ng/L, 95% CI: -1.06, -0.40, P < 0.001, I2 = 0%), and TNF (n = 7) (WMD: -0.26 ng/L, 95% CI: -0.41, -0.12, P < 0.001, I2 = 0.0%), compared to controls. However, the effect of garlic supplementation on serum adiponectin (n = 3) (WMD: 0.18 µg/L, 95% CI: -0.21, 0.57, P = 0.35, I2 = 60.7%) and leptin (n = 2) (WMD: -1.25 µg/L, 95% CI: -2.64, 0.14, P = 0.07, I2 = 0.0%) concentrations were not significant. CONCLUSION In this meta-analysis of RCTs, we found that garlic supplementation reduced serum concentrations of CRP, TNF, IL-6, but did not affect serum adiponectin and leptin in adults. More RCTs are needed to test the effects of garlic supplementation on inflammation.
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Affiliation(s)
- Manije Darooghegi Mofrad
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran, IR.,Students' Scientific Research Center (SSRC), Tehran University of Medical Sciences (TUMS), Tehran, IR
| | - Alireza Milajerdi
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran, IR
| | - Fariba Koohdani
- Department of Cellular and Molecular Nutrition, School of Nutritional Sciences and Dietetics, Tehran, IR.,Diabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, IR
| | - Pamela J Surkan
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Leila Azadbakht
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran, IR.,Diabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, IR.,Department of Community Nutrition, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan, IR
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206
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Lara-Gómez RE, Moreno-Cortes ML, Muñiz-Salazar R, Zenteno-Cuevas R. Association of polymorphisms at -174 in IL-6, and -308 and -238 in TNF-α, in the development of tuberculosis and type 2 diabetes mellitus in the Mexican population. Gene 2019; 702:1-7. [PMID: 30917933 DOI: 10.1016/j.gene.2019.03.050] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Revised: 03/20/2019] [Accepted: 03/21/2019] [Indexed: 01/04/2023]
Abstract
Polymorphisms at -176 in IL-6, and -238 and -308 in TNF-α have been described as risk factors for developing tuberculosis (TB) and type 2 diabetes mellitus (T2DM). However, it is not known how these changes influence the development of TB-T2DM comorbidity. The objective of this work was therefore to analyze the impact of these polymorphisms in the Mexican population. This is a cross-sectional study of cases and controls in which polymorphisms at -174 in IL-6, -238 and -308 in TNF-α were identified in healthy subjects, those with TB, T2DM and carriers of the comorbidity, each group consisted of 30 individuals. Descriptions of the population, frequency of genotypes and risk association were calculated, and a reduction of multifactorial dimensionality between groups (MDR) was determined. Genotype 174 G/G-of IL-6 was observed in 78% of individuals, while -308 G/G and -238 G/G of TNF-α occurred in 90% and 91% of individuals, respectively. The -174 G/G IL-6 in individuals with T2DM increased five-fold (p = .02) the risk of developing the comorbidity. The MDR analysis showed that the association of -174 G/G IL-6 and -308 G/G TNF-α in healthy individuals increased the risk of developing the comorbidity up to six-fold (p = .019), while in individuals with T2DM, this risk augmented 14-fold (p = .0002). The -174 G/G IL-6 genotype increases the risk of developing comorbidity in the T2DM population and this risk is raised when associated with -308 G/G TNF-α. These findings have implications for understanding the epidemiological dynamics of the TB-T2DM comorbidity, promoting prevention strategies and inhibiting the development of this co-morbidity.
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Affiliation(s)
- Ruth Elizabeth Lara-Gómez
- Instituto de Salud Pública, Universidad Veracruzana, Jalapa, Veracruz, Mexico; Programa de Doctorado en Ciencias de la Salud, Instituto de Ciencias de la Salud, Universidad Veracruzana, Jalapa, Veracruz, Mexico
| | - María Luisa Moreno-Cortes
- Área de Biomedicina, Instituto de Investigaciones Biológicas, Universidad Veracruzana, Jalapa, Veracruz, Mexico
| | - Raquel Muñiz-Salazar
- Laboratorio de Epidemiología y Ecología y Molecular, Escuela de Ciencias de la Salud, Universidad Autónoma de Baja California, Ensenada, Baja California, Mexico
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207
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Atak B, Aktas G, Duman TT, Erkus E, Kocak MZ, Savli H. Diabetes control could through platelet-to-lymphocyte ratio in hemograms. ACTA ACUST UNITED AC 2019; 65:38-42. [PMID: 30758418 DOI: 10.1590/1806-9282.65.1.38] [Citation(s) in RCA: 70] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2018] [Accepted: 01/20/2018] [Indexed: 02/06/2023]
Abstract
OBJECTIVE Association between type 2 diabetes mellitus and inflammation is well-established. We aimed to study platelet-to-lymphocyte ratio (PLR), a novel inflammatory index derived from hemogram, in diabetic patients in comparison to those in healthy volunteers. METHODS Medical data of type 2 diabetics that showed up in general outpatient medical clinics of our institution between February 2017 and August 2017 were recorded and analyzed. RESULTS Median PLR of type 2 diabetic patients was significantly higher than the PLR of healthy controls (p=0.001). Moreover, PLR was significantly and positively correlated with HbA1c (p<0.001, r=0.58), fasting plasma glucose (p<0.001, r=0.49), and c-reactive protein (p=0.003, r=0.30) levels. Type 2 diabetic subjects with proteinuria had significantly higher PLR levels than that of diabetic subjects without proteinuria. CONCLUSION As an inexpensive and easy to use index, PLR may be useful in predicting the development and control levels of type 2 diabetes mellitus. However, its correlation with HbA1c needs to be validated by larger prospective studies.
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Affiliation(s)
- Burcin Atak
- Abant Izzet Baysal University Hospital, Department of Internal Medicine, Bolu, Turkey
| | - Gulali Aktas
- Abant Izzet Baysal University Hospital, Department of Internal Medicine, Bolu, Turkey
| | - Tuba T Duman
- Abant Izzet Baysal University Hospital, Department of Internal Medicine, Bolu, Turkey
| | - Edip Erkus
- Abant Izzet Baysal University Hospital, Department of Internal Medicine, Bolu, Turkey
| | - M Zahid Kocak
- Abant Izzet Baysal University Hospital, Department of Internal Medicine, Bolu, Turkey
| | - Haluk Savli
- Abant Izzet Baysal University Hospital, Department of Internal Medicine, Bolu, Turkey
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208
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Perry BI, Upthegrove R, Thompson A, Marwaha S, Zammit S, Singh SP, Khandaker G. Dysglycaemia, Inflammation and Psychosis: Findings From the UK ALSPAC Birth Cohort. Schizophr Bull 2019; 45:330-338. [PMID: 29635418 PMCID: PMC6403055 DOI: 10.1093/schbul/sby040] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Psychosis is associated with both dysglycaemia and low-grade inflammation, but population-based studies investigating the interplay between these factors are scarce. AIMS (1) To explore the direction of association between markers of dysglycaemia, inflammation and psychotic experiences (PEs); and (2) To explore whether dysglycaemia moderates and/or mediates the association between inflammation and PEs. METHOD Data from the Avon Longitudinal Study of Parents and Children (ALSPAC) birth cohort were modeled using logistic and linear regression to examine cross-sectional and longitudinal associations between markers of dysglycaemia (ages 9 and 18), interleukin-6 (IL-6) (age 9), and PEs (ages 12 and 18). We tested for an interaction between dysglycaemia and IL-6 on risk of PEs at age 18, and tested whether dysglycaemia mediated the relationship between IL-6 and PEs. RESULTS Based on 2627 participants, at age 18, insulin resistance (IR) was associated with PEs (adjusted OR = 2.32; 95% CI, 1.37-3.97). IR was associated with IL-6 both cross-sectionally and longitudinally. Interaction analyses under a multiplicative model showed that IR moderated the association between IL-6 at age 9 and PEs at age 18 (adjusted OR for interaction term = 2.18; 95% C.I., 1.06-4.49). Mediation analysis did not support a model of IR mediating the relationship between IL-6 and PEs. IMPLICATIONS IR is associated with PEs in young people even before the onset of clinical psychosis. Metabolic alterations may interact with childhood inflammation to increase risk of PEs. The findings have implications for clinical practice and future research.
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Affiliation(s)
- Benjamin Ian Perry
- Department of Psychiatry, Coventry and Warwickshire Partnership NHS Trust, Coventry, UK
- Unit of Mental Health and Wellbeing, University of Warwick, Coventry, UK
| | - Rachel Upthegrove
- Insitute for Mental Health, University of Birmingham, Birmingham, UK
- Department of Psychiatry, Birmingham and Solihull Mental Health Foundation Trust, Birmingham, UK
| | - Andrew Thompson
- Department of Psychiatry, Coventry and Warwickshire Partnership NHS Trust, Coventry, UK
- Unit of Mental Health and Wellbeing, University of Warwick, Coventry, UK
| | - Steven Marwaha
- Department of Psychiatry, Coventry and Warwickshire Partnership NHS Trust, Coventry, UK
- Unit of Mental Health and Wellbeing, University of Warwick, Coventry, UK
| | - Stanley Zammit
- Centre for Academic Mental Health, School of Social and Community Medicine, University of Bristol, Bristol, UK
- Institute of Psychological Medicine and Clinical Neurosciences, Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Swaran Preet Singh
- Department of Psychiatry, Coventry and Warwickshire Partnership NHS Trust, Coventry, UK
- Unit of Mental Health and Wellbeing, University of Warwick, Coventry, UK
| | - Golam Khandaker
- Centre for Academic Mental Health, School of Social and Community Medicine, University of Bristol, Bristol, UK
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, UK
- Department of Psychiatry, Cambridgeshire and Peterborough National Health Service Foundation Trust, Cambridge, UK
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209
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Shathili AM, Brown HM, Everest-Dass AV, Tan TCY, Parker LM, Thompson JG, Packer NH. The effect of streptozotocin-induced hyperglycemia on N-and O-linked protein glycosylation in mouse ovary. Glycobiology 2019; 28:832-840. [PMID: 30169672 DOI: 10.1093/glycob/cwy075] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Accepted: 08/28/2018] [Indexed: 12/13/2022] Open
Abstract
Post-translational modification of proteins namely glycosylation influences cellular behavior, structural properties and interactions including during ovarian follicle development and atresia. However, little is known about protein glycosylation changes occurring in diabetes mellitus in ovarian tissues despite the well-known influence of diabetes on the outcome of successful embryo implantation. In our study, the use of PGC chromatography-ESI mass spectrometry in negative ion mode enabled the identification of 138 N-glycans and 6 O-glycans on the proteins of Streptozotocin-induced (STZ) diabetic mouse ovarian tissues (n = 3). Diabetic mouse ovaries exhibited a relative decrease in sialylation, fucosylation and, to a lesser extent, branched N-linked glycan structures, as well as an increase in oligomannose structures on their proteins, compared with nondiabetic mouse ovaries. Changes in N-glycans occurred in the diabetic liver tissue but were more evident in diabetic ovarian tissue of the same mouse, suggesting an organ-specific effect of diabetes mellitus on protein glycosylation. Although at a very low amount, O-GalNAc glycans of mice ovaries were present as core type 1 and core type 2 glycans; with a relative increase in the NeuGc:NeuAc ratio as the most significant difference between control and diabetic ovarian tissues. STZ-treated mice also showed a trend towards an increase in TNF-α and IL1-B inflammatory cytokines, which have previously been shown to influence protein glycosylation.
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Affiliation(s)
- Abdulrahman M Shathili
- Department of Molecular Sciences, Macquarie University, North Ryde, Sydney, NSW, Australia.,ARC Centre of Nanoscale Biophotonics, Macquarie University, North Ryde, Sydney, NSW, Australia
| | - Hannah M Brown
- Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia.,ARC Centre of Nanoscale Biophotonics, University of Adelaide, Adelaide, SA, Australia
| | - Arun V Everest-Dass
- Department of Molecular Sciences, Macquarie University, North Ryde, Sydney, NSW, Australia.,ARC Centre of Nanoscale Biophotonics, Macquarie University, North Ryde, Sydney, NSW, Australia.,Institute for Glycomics, Griffith University, Southport, Queensland, Australia
| | - Tiffany C Y Tan
- Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia.,ARC Centre of Nanoscale Biophotonics, University of Adelaide, Adelaide, SA, Australia
| | - Lindsay M Parker
- Department of Molecular Sciences, Macquarie University, North Ryde, Sydney, NSW, Australia.,ARC Centre of Nanoscale Biophotonics, Macquarie University, North Ryde, Sydney, NSW, Australia
| | - Jeremy G Thompson
- Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia.,ARC Centre of Nanoscale Biophotonics, University of Adelaide, Adelaide, SA, Australia
| | - Nicolle H Packer
- Department of Molecular Sciences, Macquarie University, North Ryde, Sydney, NSW, Australia.,ARC Centre of Nanoscale Biophotonics, Macquarie University, North Ryde, Sydney, NSW, Australia.,Institute for Glycomics, Griffith University, Southport, Queensland, Australia
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210
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Mzimela NC, Ngubane PS, Khathi A. The changes in immune cell concentration during the progression of pre-diabetes to type 2 diabetes in a high-fat high-carbohydrate diet-induced pre-diabetic rat model. Autoimmunity 2019; 52:27-36. [PMID: 30776930 DOI: 10.1080/08916934.2019.1575820] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Pre-diabetes is a long-lasting condition that precedes type 2 diabetes (T2D). T2D has been shown to suppress the immune response. However, it remains unclear if immune activation occurs before the onset of T2D during the progression of the pre-diabetic state. This study sought to characterize the changes in general immunity occurring during the progression from pre-diabetes to T2D. Male rats were fed a high-fat high-carbohydrate diet for 20 weeks (pre-diabetes induction period) and kept on the same diet being monitored for a further 12 weeks (experimental period). Blood was collected for haemocytometer analysis on week 0, 4, 8, and 12 of the experimental period after which the animals were sacrificed. Plasma was collected from centrifuged blood for ELISA (TNF-α, CRP, P-selectin, CD40 L, fibrinogen, and IL-6). Blood neutrophils percentage significantly decreased at week 12 possibly due to recruited neutrophils migrating to an inflamed area such as visceral adipose tissue as further observed. Due to hyperglycaemia, there was significant increase in blood lymphocytes percentage at week 12. Blood monocytes percentage significantly increased at week 12. Monocytes recruited and circulated in blood due to hyperglycaemia for glucose uptake to decrease it from circulation. Blood eosinophils percentage significantly decreased at week 12. Eosinophils migrated to inflamed areas such as visceral adipose tissue as further observed. Blood basophils percentage significantly increased due to their recruitment and activation. TNF-α, CRP, and IL-6 increased significantly after 12 weeks. There was also upregulation of fibrinogen, P-selectin, and CD40L. The results of this study show that there are changes in immune cells concentration and that immune cells such as neutrophils and eosinophils migrate to inflamed areas such as adipose tissue. There is also upregulation of various inflammatory cytokines. Based on these findings, immune activation begins during the pre-diabetic state as there is upregulation of inflammatory markers.
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Affiliation(s)
- Nomusa Christina Mzimela
- a Department of Human Physiology, School of Laboratory Medicine and Medical Sciences, College of Health Sciences , University of KwaZulu-Natal , Durban , South Africa
| | - Phikelelani Siphosethu Ngubane
- a Department of Human Physiology, School of Laboratory Medicine and Medical Sciences, College of Health Sciences , University of KwaZulu-Natal , Durban , South Africa
| | - Andile Khathi
- a Department of Human Physiology, School of Laboratory Medicine and Medical Sciences, College of Health Sciences , University of KwaZulu-Natal , Durban , South Africa
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211
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Zhang L, Su S, Zhu Y, Guo J, Guo S, Qian D, Ouyang Z, Duan JA. Mulberry leaf active components alleviate type 2 diabetes and its liver and kidney injury in db/db mice through insulin receptor and TGF-β/Smads signaling pathway. Biomed Pharmacother 2019; 112:108675. [PMID: 30780108 DOI: 10.1016/j.biopha.2019.108675] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2018] [Revised: 02/06/2019] [Accepted: 02/06/2019] [Indexed: 01/08/2023] Open
Abstract
Mulberry leaf is one of the commonly used traditional Chinese medicines, has been shown to exert hypoglycemic effects against diabetes. The aim of this study is to investigate the effects and mechanism of mulberry leaf flavonoids (MF), polysaccharides (MP) and alkaloids (MA) on diabetic and its liver and kidney injury. The db/db mice was adopted and the results showed that the FBG (fasting blood glucose) of model group continued to increase and associated liver and kidney injury. After the intervention of MP and MA, the value of FBG exhibited the most obvious hypoglycemic effect. MF and MP have obvious improved effect on kidney injury, which reduced the content of mALB/Cre (microalbumin/creatinine) in urine and improved the tubular epithelial cells edematous and renal cystic epithelial thickening. While the MF and MA possessed a significant effect on liver damage, manifested in reducing the levels of ALT (alanine aminotransferase) and AST (aspartate aminotransferase) and pathological changes of liver on db/db mice. Through metabolomics analysis, 13 endogenous potential biomarkers were identified in serum. The three effective components of mulberry can regulate the 13 potential biomarkers and the corresponding metabolic pathway. Collectively, the components of mulberry leaf have clear hypoglycemic effect and protective effect on liver and kidney injury and the effects are related to insulin receptor and TGF-β/Smads signaling pathway.
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Affiliation(s)
- Liwen Zhang
- Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Key Laboratory of Chinese Medicinal Resources Recycling Utilization, State Administration of Traditional Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Shulan Su
- Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Key Laboratory of Chinese Medicinal Resources Recycling Utilization, State Administration of Traditional Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, China.
| | - Yue Zhu
- Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Key Laboratory of Chinese Medicinal Resources Recycling Utilization, State Administration of Traditional Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Jianming Guo
- Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Key Laboratory of Chinese Medicinal Resources Recycling Utilization, State Administration of Traditional Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Sheng Guo
- Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Key Laboratory of Chinese Medicinal Resources Recycling Utilization, State Administration of Traditional Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Dawei Qian
- Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Key Laboratory of Chinese Medicinal Resources Recycling Utilization, State Administration of Traditional Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Zhen Ouyang
- College of Pharmacy, Jiangsu University, Zhenjiang 210013, China
| | - Jin-Ao Duan
- Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Key Laboratory of Chinese Medicinal Resources Recycling Utilization, State Administration of Traditional Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, China.
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212
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Pérez-Bey A, Segura-Jiménez V, Fernández-Santos JDR, Esteban-Cornejo I, Gómez-Martínez S, Veiga OL, Marcos A, Ortega FB, Castro-Piñero J. The influence of cardiorespiratory fitness on clustered cardiovascular disease risk factors and the mediator role of body mass index in youth: The UP&DOWN Study. Pediatr Diabetes 2019; 20:32-40. [PMID: 30468012 DOI: 10.1111/pedi.12800] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2018] [Revised: 10/02/2018] [Accepted: 11/05/2018] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND The combined effect of cardiorespiratory fitness (CRF) and body mass index (BMI) on cardiovascular disease (CVD) risk in young people remains to be fully determined. We examined the individual and combined associations of CRF and BMI with clustered CVD risk factors, and the mediator role of BMI in the association between CRF and clustered CVD risk factors in children and adolescents. METHODS 237 children (111 girls) and 260 adolescents (120 girls) were included in this cross-sectional study. Height and weight were assessed and BMI was calculated. A CVD risk factor index (CVDRF-I) was computed from: waist circumference, systolic blood pressure, triglycerides, high-density lipoprotein cholesterol and glucose. CRF was assessed using the 20-m shuttle run test. Regression analysis, analysis of covariance and mediation analysis (Baron and Kenny procedures) were used to test the independent and combined effect of CRF and BMI on CVDRF-I, and to test mediation hypothesis, respectively. RESULTS CRF was negatively associated with CVDRF-I (all P < 0.05); however, after adjusting for BMI the associations were no longer significant in children and adolescents of both sex groups. Contrary, the association between BMI and CVDRF-I was independent of CRF (all P < 0.001). The effect of CRF on CVDRF-I was mediated by BMI. The percentage of the total effect of CRF on CVDRF-I mediated by BMI for boys and girls children and boys and girls adolescents were 79.5%, 100%, 81.2% and 55.7%, respectively. CONCLUSIONS BMI is an independent predictor of CVDRF-I and a mediator of the association between CRF and CVDRF-I in children and adolescents. These results help to clarify the associations between CRF, weight status and cardiovascular health, suggesting that future CVD health would benefit from maintaining an optimal weight status.
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Affiliation(s)
- Alejandro Pérez-Bey
- Department of Physical Education, Faculty of Education Sciences, University of Cádiz, Puerto Real, Spain
| | - Víctor Segura-Jiménez
- Department of Physical Education, Faculty of Education Sciences, University of Cádiz, Puerto Real, Spain
| | | | - Irene Esteban-Cornejo
- Center for Cognitive and Brain Health, Department of Psychology, Northeastern University, Boston, MA, USA.,PROmoting FITness and Health Through Physical Activity Research Group (PROFITH), Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Granada, Spain
| | - Sonia Gómez-Martínez
- Immunonutrition Research Group. Department of Metabolism and Nutrition. Institute of Food Science, Technology and Nutrition (ICTAN), Spanish National Research Council (CSIC), Madrid, Spain
| | - Oscar L Veiga
- Department of Physical Education, Sports and Human Movement, Faculty of Teacher Training and Education, Autonomous University of Madrid, Madrid, Spain
| | - Ascensión Marcos
- Immunonutrition Research Group. Department of Metabolism and Nutrition. Institute of Food Science, Technology and Nutrition (ICTAN), Spanish National Research Council (CSIC), Madrid, Spain
| | - Francisco B Ortega
- PROmoting FITness and Health Through Physical Activity Research Group (PROFITH), Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Granada, Spain
| | - José Castro-Piñero
- Department of Physical Education, Faculty of Education Sciences, University of Cádiz, Puerto Real, Spain
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213
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Kato K, Otsuka T, Saiki Y, Kobayashi N, Nakamura T, Kon Y, Kawada T. Association Between Elevated C-Reactive Protein Levels and Prediabetes in Adults, Particularly Impaired Glucose Tolerance. Can J Diabetes 2019; 43:40-45.e2. [DOI: 10.1016/j.jcjd.2018.03.007] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2017] [Accepted: 03/13/2018] [Indexed: 01/04/2023]
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214
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Hackett RA, Poole L, Hunt E, Panagi L, Steptoe A. Loneliness and biological responses to acute stress in people with Type 2 diabetes. Psychophysiology 2019; 56:e13341. [PMID: 30693534 PMCID: PMC6563153 DOI: 10.1111/psyp.13341] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2018] [Revised: 12/14/2018] [Accepted: 01/07/2019] [Indexed: 02/06/2023]
Abstract
Loneliness is linked with all-cause mortality and coronary heart disease. Altered neuroendocrine and inflammatory responses to stress constitute potential pathways linking loneliness and ill-health. Stress responsivity is modified in people with Type 2 diabetes, but it is unclear whether loneliness influences biological stress responses in this population. We assessed interleukin-6 (IL-6), interleukin-1 receptor antagonist (IL-1RA), monocyte chemoattractant protein-1 (MCP-1), and cortisol responses to acute stress in 135 people with Type 2 diabetes. Loneliness was measured used the Revised UCLA Loneliness Scale. Loneliness was inversely associated with cortisol output poststress (B = -4.429, p = 0.019) independent of age, sex, education, marital status, body mass index, and smoking. Lonelier individuals had raised MCP-1 concentrations 75 min poststress independent of covariates (B = 0.713, p = 0.022). No associations between loneliness and IL-6 or IL-1RA concentrations were detected. These results suggest that loneliness is associated with disturbances in stress responsivity in people with diabetes, and the impact of loneliness on health in people with diabetes may be mediated in part through dysregulation of inflammatory and neuroendocrine systems. Future research is required to understand if such changes increase the risk of poorer outcomes in this population.
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Affiliation(s)
- Ruth A Hackett
- Department of Behavioural Science and Health, University College London, London, UK
| | - Lydia Poole
- Department of Behavioural Science and Health, University College London, London, UK
| | - Elizabeth Hunt
- Department of Behavioural Science and Health, University College London, London, UK
| | - Laura Panagi
- Department of Behavioural Science and Health, University College London, London, UK
| | - Andrew Steptoe
- Department of Behavioural Science and Health, University College London, London, UK
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215
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Panagi L, Poole L, Hackett RA, Steptoe A. Sex differences in interleukin-6 stress responses in people with Type 2 diabetes. Psychophysiology 2019; 56:e13334. [PMID: 30666661 PMCID: PMC6563423 DOI: 10.1111/psyp.13334] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Revised: 10/31/2018] [Accepted: 11/28/2018] [Indexed: 12/17/2022]
Abstract
People with Type 2 diabetes (T2D) show dysregulated inflammatory responses to acute stress, but the effect of sex on inflammatory responses in T2D remains unclear. The purpose of this study was to investigate differences in interleukin (IL)-6 stress responses between older men and women with T2D. One hundred and twenty-one people (76 men; mean age = 64.09, SD = 7.35, 45 women; mean age = 63.20, SD = 6.70) with doctor-verified T2D took part in this laboratory-based stress testing study. Participants carried out acute mental stress tasks, and blood was sampled at baseline, immediately poststress, 45 min poststress, and 75 min poststress to detect plasma IL-6 concentrations. IL-6 change scores were computed as the difference between the baseline measurement and the three time points poststress. Main effects and interactions were tested using mixed model analysis of covariance. We found a significant main effect of time on IL-6 levels, and a significant Sex × Time interaction. In adjusted analyses including the three change scores and all the covariates, the significant Sex × Time interaction was maintained; IL-6 responses were greater in women at 45 and 75 min poststress compared with men, adjusting for age, body mass index, smoking, household income, glycated hemoglobin, oral antidiabetic medication, insulin/other injectable antidiabetic medication, depressive symptoms, and time of day of testing. Different inflammatory stress response pathways are present in men and women with T2D, with women producing larger IL-6 increases. The long-term implications of these differences need to be elucidated in future studies.
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Affiliation(s)
- Laura Panagi
- Research Department of Behavioural Science and Health, University College London, London, United Kingdom
| | - Lydia Poole
- Research Department of Behavioural Science and Health, University College London, London, United Kingdom
| | - Ruth A Hackett
- Research Department of Behavioural Science and Health, University College London, London, United Kingdom
| | - Andrew Steptoe
- Research Department of Behavioural Science and Health, University College London, London, United Kingdom
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216
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Wang L, Zhou X, Yin Y, Mai Y, Wang D, Zhang X. Hyperglycemia Induces Neutrophil Extracellular Traps Formation Through an NADPH Oxidase-Dependent Pathway in Diabetic Retinopathy. Front Immunol 2019; 9:3076. [PMID: 30671057 PMCID: PMC6331470 DOI: 10.3389/fimmu.2018.03076] [Citation(s) in RCA: 116] [Impact Index Per Article: 23.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2018] [Accepted: 12/12/2018] [Indexed: 02/05/2023] Open
Abstract
Neutrophil extracellular traps (NETs), the product of NETosis, is found to localize pathogens and crystals in immune response. Recent studies have found that excessive NETs lead to disease conditions such as diabetes and its complications like diabetic retinopathy (DR). However, the correlation between NETs and high glucose or DR remains unclear. Here, we found NETs level was significantly increased in the serum of diabetic patients, especially in proliferation diabetic retinopathy (PDR) patients. High glucose dramatically increased NETs production in diabetic individuals with time prolonging. The activation of NADPH oxidase was involved in the NETs process which is triggered by high glucose. Moreover, we verified the infiltration of neutrophils in the eyes and adhesion to vascular endothelial cells in diabetic rat models. NETs formation was observed in the vitreous bodies and retinas of diabetic individuals, which indicates NETs may play a role in the pathogenesis of diabetic retinopathy. Furthermore, anti-VEGF therapy downregulates NETs production indicating that NADPH oxidase-derived ROS may be another signaling pathway involved in anti-VEGF therapy.
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Affiliation(s)
- Luoziyi Wang
- Department of Ophthalmology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing, China
| | - Xin Zhou
- Laboratory of Stem Cell Biology, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Yizhou Yin
- Department of Ophthalmology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing, China
| | - Yuxin Mai
- Department of Ophthalmology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing, China
| | - Desai Wang
- Department of Ophthalmology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing, China
| | - Xuedong Zhang
- Department of Ophthalmology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing, China
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217
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Amjadi A, Mirmiranpor H, Khandani S, Sobhani SO, Shafaee Y. Intravenous Laser Wavelength Irradiation Effect on Interleukins: IL-1α, IL-1β, IL6 in Diabetic Rats. Laser Ther 2019; 28:267-273. [PMID: 32255918 DOI: 10.5978/islsm.19-or-18] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Accepted: 10/25/2019] [Indexed: 12/21/2022]
Abstract
Background and aims The main purpose of this investigation in Low-Level Laser Therapy (LLLT) on diabetic rats is laser wavelength effect on interleukins: IL-1α, IL-1β, IL6. Materials Subjects and Methods At first, diabetes was induced in Wistar rats by streptozotocin (STZ) injection. Then, by intravenous laser therapy, the rats were irradiated by four continuous wave lasers: IR (λ = 808 nm), Red (λ = 638 nm), Green (λ = 532 nm) and Blue (λ= 450 nm) to compare the related laser wavelength effect on different interleukins. The inflammatory parameters were measured 2,6 and 24 hours after laser therapy from blood samples and plotted for different laser wavelengths. Results The results show a decrease in all the above parameters by different laser irradiation in comparison to non-radiated diabetic control ones. More importantly with constant laser energy as the laser wavelength decreases, it affects more efficiently on lowering the above parameters. Conclusions we can conclude from our data on diabetic rats that in intravenous LLLT, with constant laser energy, shorter wavelengths like Blue (λ= 450 nm) is more effective than longer wavelengths such as Red (λ = 638 nm) and IR (λ = 808 nm) lasers to lower the level of interleukins toward non-diabetic ones.
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Affiliation(s)
- A Amjadi
- (Corresponding Author) Laser and Medical Physics Lab, Department of Physics, Sharif University of Technology, Tehran, Iran, E-mail: , Tel: +98-2166164521 Fax:+98-2166022711
| | - H Mirmiranpor
- Endocrinology and Metabolism Research Center (EMRC), Valiasr Hospital, School of Medicine, Tehran University of Medical Science, Tehran, Iran, E-mail: , Tel: +98-9123388654
| | - S Khandani
- Laser and Medical Physics Lab, Department of Physics, Sharif University of Technology, Tehran, Iran, E-mail: , Tel.: +98-9155828735
| | - S O Sobhani
- Laser and Medical Physics Lab, Department of Physics, Sharif University of Technology, Tehran, Iran, E-mail: , Tel.: +32-494903687
| | - Y Shafaee
- Laser and Medical Physics Lab, Department of Physics, Sharif University of Technology, Tehran, Iran, E-mail: , Tel.: +98-9101030472
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218
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Chang DC, Xu X, Ferrante AW, Krakoff J. Reduced plasma albumin predicts type 2 diabetes and is associated with greater adipose tissue macrophage content and activation. Diabetol Metab Syndr 2019; 11:14. [PMID: 30774722 PMCID: PMC6367730 DOI: 10.1186/s13098-019-0409-y] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2018] [Accepted: 01/31/2019] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Plasma albumin is reduced during inflammation. Obesity, a strong risk factor for type 2 diabetes (T2D), is associated with adipose tissue inflammation. However, whether albumin is associated with adipose tissue inflammation and whether it predicts T2D are unclear. METHODS Adults (predominantly American Indian) from a longitudinal study were included. Macrophage content and gene expression related to recruitment/activation were measured from subcutaneous adipose tissue (n = 51). The relationship between plasma albumin and adiposity (dual-energy X-ray absorptiometry or hydrodensitometry), glucose (oral glucose tolerance test), insulin action (hyperinsulinemic-euglycemic clamp), and insulin secretion (intravenous glucose tolerance test) were evaluated (n = 422). Progression to T2D was evaluated by Cox regression (median follow-up 8.8 years; 102 progressors). RESULTS Albumin was associated with macrophage markers including C1QB (r = - 0.30, p = 0.04), CSF1R (r = - 0.30, p = 0.03), and CD11b (r = - 0.36, p = 0.01). Albumin was inversely associated with body fat percentage (r = - 0.14, p = 0.003), fasting plasma glucose (r = - 0.17, p = 0.0003), and 2 h plasma glucose (r = - 0.11, p = 0.03), and was reduced in impaired glucose regulation compared with normal glucose regulation (mean ± SD: 39.4 ± 3.6 g/l and 40.1 ± 3.9 g/l, respectively; p = 0.049). Albumin predicted T2D, even after adjustment for confounders (HR, 0.75; 95% CI 0.58-0.96; p = 0.02; per one SD difference in albumin). CONCLUSIONS Reduced albumin is associated with an unfavorable metabolic profile, characterized by increased adipose tissue inflammation, adiposity, and glucose, and with an increased risk for T2D.
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Affiliation(s)
- Douglas C. Chang
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 4212N. 16th Street, Phoenix, AZ 85016 USA
| | - Xiaoyuan Xu
- Department of Medicine, The Naomi Berrie Diabetes Center, Columbia University, New York, NY USA
| | - Anthony W. Ferrante
- Department of Medicine, The Naomi Berrie Diabetes Center, Columbia University, New York, NY USA
| | - Jonathan Krakoff
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 4212N. 16th Street, Phoenix, AZ 85016 USA
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Mahat RK, Singh N, Rathore V. Association of myeloperoxidase with cardiovascular disease risk factors in prediabetic subjects. Diabetes Metab Syndr 2019; 13:396-400. [PMID: 30641731 DOI: 10.1016/j.dsx.2018.10.016] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Accepted: 10/10/2018] [Indexed: 01/15/2023]
Abstract
INTRODUCTION Prediabetes is a chronic low-grade inflammatory disease and considered as a risk factor for the development of diabetes mellitus and cardiovascular disease. Myeloperoxidase (MPO) is a leukocyte-derived enzyme, linked to both oxidative stress and inflammation and has been proposed as a possible mediator of atherosclerosis, the major cause of cardiovascular disease. The objective of the present study was to evaluate the level of MPO in prediabetic subjects and correlate it with other cardiovascular disease risk factors. MATERIALS AND METHODS In this cross-sectional study, a total of 400 subjects were recruited. Of them, 200 were prediabetic subjects and 200 were age and gender-matched controls. For each subject, blood pressure, weight, height, waist circumference, hip circumference and lipid parameters were measured. In addition, MPO was determined. RESULTS MPO was significantly increased in prediabetic subjects as compared to controls. In correlation analysis, MPO was found to be significantly and positively correlated with all the cardiovascular disease risk factors i.e. age, body mass index (BMI), waist-to-hip ratio (WHR), blood pressure [both systolic blood pressure (SBP) and diastolic blood pressure (DBP)], lipid parameters except high density lipoprotein (HDL) to which it was negatively correlated. CONCLUSION In conclusion, MPO is well correlated with cardiovascular disease risk factors in prediabetes. Hence, MPO could be used to detect cardiovascular risk among prediabetic subjects and also can be used as an early biomarker of oxidative stress and inflammation in prediabetes.
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Affiliation(s)
- Roshan Kumar Mahat
- Department of Biochemistry, Gajra Raja Medical College, Jiwaji University, Gwalior, Madhya Pradesh, 474009, India.
| | | | - Vedika Rathore
- Department of Biochemistry, Shyam Shah Medical College, Rewa, Madhya Pradesh, 486001, India
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220
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Prevalence of Depression among Patients with Type 2 Diabetes Mellitus and its associated Clinical Factors. J ASEAN Fed Endocr Soc 2019; 34:197-203. [PMID: 33442156 PMCID: PMC7784119 DOI: 10.15605/jafes.034.02.11] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Accepted: 08/02/2019] [Indexed: 12/05/2022] Open
Abstract
Introduction Type 2 diabetes mellitus has been linked to depression. However, this has been largely unrecognized and untreated. There are no current data available in the Philippine setting of the prevalence of the disease. Objective The objective of the study was to determine the prevalence of depression among adult Filipino patients with type 2 diabetes mellitus and investigate the different clinical factors associated with it. Methodology This is a single-center, analytic cross-sectional study conducted at a tertiary hospital, with 476 patients aged above 18 years old diagnosed with type 2 Diabetes Mellitus included. The Physicians Health Questionnaire 9 (PHQ-9) with a score of >5 was used to make a diagnosis of depression. Results Prevalence of depression among patients with type 2 diabetes mellitus was 19.9%. Factors associated with increased odds of depression were having a post-graduate degree (p-value=0.012), presence of retinopathy (p-value=0.018), and higher MMA Score (lower adherence) (p-value=0.000). Conclusion Depression is prevalent among Filipino patients with type 2 diabetes mellitus. An integrated approach by the attending physicians and psychiatrists is required for the effective management of these patients.
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221
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Vidal-Martinez G, Yang B, Vargas-Medrano J, Perez RG. Could α-Synuclein Modulation of Insulin and Dopamine Identify a Novel Link Between Parkinson's Disease and Diabetes as Well as Potential Therapies? Front Mol Neurosci 2018; 11:465. [PMID: 30622456 PMCID: PMC6308185 DOI: 10.3389/fnmol.2018.00465] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Accepted: 11/30/2018] [Indexed: 12/12/2022] Open
Abstract
Characterizing the normal function(s) of the protein α-Synuclein (aSyn) has the potential to illuminate links between Parkinson’s disease (PD) and diabetes and also point the way toward new therapies for these disorders. Here we provide a perspective for consideration based on our discovery that aSyn normally acts to inhibit insulin secretion from pancreatic β-cells by interacting with the Kir6.2 subunit of the ATP-sensitive potassium channel (K-ATP). It is also known that K-ATP channels act to inhibit brain dopamine secretion, and we have also shown that aSyn is a normal inhibitor of dopamine synthesis. The finding, that aSyn modulates Kir6.2 and other proteins involved in dopamine and insulin secretion, suggests that aSyn interacting proteins may be negatively impacted when aSyn aggregates inside cells, whether in brain or pancreas. Furthermore, identifying therapies for PD that can counteract dysfunction found in diabetes, would be highly beneficial. One such compound may be the multiple sclerosis drug, FTY720, which like aSyn can stimulate the activity of the catalytic subunit of protein phosphatase 2A (PP2Ac) as well as insulin secretion. In aging aSyn transgenic mice given long term oral FTY720, the mice had reduced aSyn pathology and increased levels of the protective molecule, brain derived neurotrophic factor (BDNF) (Vidal-Martinez et al., 2016). In collaboration with medicinal chemists, we made two non-immunosuppressive FTY720s that also enhance PP2Ac activity, and BDNF expression (Vargas-Medrano et al., 2014; Enoru et al., 2016; Segura-Ulate et al., 2017a). FTY720 and our novel FTY720-based-derivatives, may thus have therapeutic potential for both diabetes and PD.
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Affiliation(s)
- Guadalupe Vidal-Martinez
- Department of Biomedical Sciences, Center of Emphasis in Neurosciences, Graduate School of Biomedical Sciences, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, TX, United States
| | - Barbara Yang
- Department of Biomedical Sciences, Center of Emphasis in Neurosciences, Graduate School of Biomedical Sciences, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, TX, United States
| | - Javier Vargas-Medrano
- Department of Biomedical Sciences, Center of Emphasis in Neurosciences, Graduate School of Biomedical Sciences, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, TX, United States
| | - Ruth G Perez
- Department of Biomedical Sciences, Center of Emphasis in Neurosciences, Graduate School of Biomedical Sciences, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, TX, United States
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Martinez-Rios MA, Vargas-Alarcon G, Peña-Duque MA, Perez-Mendez O, Rodriguez-Perez JM, Perez-Hernandez N, Herrera-Maya G, Posadas-Sanchez R, Posadas-Romero C, Fragoso JM. The -44 C/G (rs1800972) polymorphism of the β-defensin 1 is associated with increased risk of developing type 2 diabetes mellitus. Mol Genet Genomic Med 2018; 7:e00509. [PMID: 30549243 PMCID: PMC6382445 DOI: 10.1002/mgg3.509] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2018] [Revised: 10/03/2018] [Accepted: 10/15/2018] [Indexed: 12/25/2022] Open
Abstract
Background The aim of this study was to establish the association of two polymorphisms of the β‐defensin 1 gene (DEFB1, OMIM#602056) with the risk of developing type 2 diabetes mellitus (T2DM) in a group of Mexican patients. Methods The 5′UTR −20 G/A, and −44 C/G polymorphisms of DEFB1 gene were genotyped by 5′ exonuclease TaqMan assays in a group of 252 patients with T2DM and 522 healthy control. Results Under dominant and additive models adjusted for the risk factors, the C allele of the −44 C/G polymorphism was associated with increased risk of T2DM (OR = 1.63, 95% CI = 1.07–2.48, pCdom = 0.021 and OR = 1.42, 95% CI = 1.05–1.91, pCadd = 0.023, respectively). In addition, the linkage disequilibrium analysis showed that AC haplotype was associated with an increased risk of developing T2DM (OR = 4.39, p = 0.04). The in‐silico analysis showed that the −44 C allele produces a binding site for the transcription factor Ikaros (IK). Conclusion This study demonstrates that the C allele of −44 C/G polymorphism, as well as haplotype AC are associated with the presence of T2DM in the Mexican population. The variation in this polymorphism of the DEFB1 gene could increase the migration of the macrophages to pancreatic islets accelerate the β‐cell dysfunction in T2DM.
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Affiliation(s)
| | - Gilberto Vargas-Alarcon
- Department of Molecular Biology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, Mexico
| | - Marco Antonio Peña-Duque
- Interventional Cardiology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, Mexico
| | - Oscar Perez-Mendez
- Department of Molecular Biology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, Mexico
| | | | - Nonanzit Perez-Hernandez
- Department of Molecular Biology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, Mexico
| | - Gabriel Herrera-Maya
- Department of Molecular Biology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, Mexico
| | | | - Carlos Posadas-Romero
- Department of Endocrinology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, Mexico
| | - Jose Manuel Fragoso
- Department of Molecular Biology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, Mexico
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223
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Ebokaiwe AP, Ijomone OM, Osawe SO, Chukwu CJ, Ejike CECC, Zhang G, Wang F. Alteration in sperm characteristics, endocrine balance and redox status in rats rendered diabetic by streptozotocin treatment: attenuating role of Loranthus micranthus. Redox Rep 2018; 23:194-205. [PMID: 30376784 PMCID: PMC6748702 DOI: 10.1080/13510002.2018.1540675] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
Objectives:Loranthus micranthus is widely used in
Nigerian folklore treatment of male infertility and diabetes complications. We
investigated this claim in rats rendered diabetic by streptozotocin (STZ). Methods: Induction of diabetes mellitus in adult male Wistar rats
was by intraperitoneal injection of STZ (60 mg/kg). The diabetic rats were
thereafter treated orally once/day with 5 mg/kg Gilbenclamide or L.
micranthus (100 mg/kg or 200 mg/kg) and monitored for 14 days.
Clinical observations, hormonal profile, oxidative stress parameters, glucose
metabolism enzymes, histopathological examination, apoptotic marker
immunoreactivity and western blotting in testes and sperm parameters were
evaluated to examine effects of L. micranthus on STZ-diabetic
rats. Results:L. micranthus treatment significantly
reduced the blood glucose level (45.9% and 84.7% on the 7th and 14th
post-treatment days, respectively); increased antioxidant status, improved
microarchitecture of testes, reduced lipid peroxidation and increased BCl-2
protein expression in diabetic rats relative to control. Furthermore, treatment
with L. micranthus increased steroidogenic enzymes activities,
levels of steroid hormones and improved sperm quality, relative to control. Conclusion: The anti-diabetic and aphrodisiac properties exhibited
by L. micranthus could be contingent on its ability to restore
a balance to the compromised redox status that characterizes male reproductive
dysfunction in diabetes.
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Affiliation(s)
- Azubuike P Ebokaiwe
- a Department of Chemistry/Biochemistry and Molecular Biology , Federal University Ndufu-Alike Ikwo , Ikwo , Nigeria.,e Key Laboratory of Natural Medicine and Clinical Translation , Chengdu Institute of Biology, Chinese Academy of Sciences , Chengdu , People's Republic of China
| | - Omamuyovwi M Ijomone
- b Department of Anatomy, School of Health and Health Technology , Federal University of Technology Akure , Akure , Nigeria
| | - Sharon O Osawe
- c Department of Biochemistry, Faculty of Applied Sciences , KolaDaisi University , Ibadan , Nigeria
| | - Chukwuma J Chukwu
- a Department of Chemistry/Biochemistry and Molecular Biology , Federal University Ndufu-Alike Ikwo , Ikwo , Nigeria
| | - Chukwunonso E C C Ejike
- d Department of Medical Biochemistry, College of Medicine , Federal University Ndufu-Alike Ikwo , Ikwo , Nigeria
| | - Guolin Zhang
- e Key Laboratory of Natural Medicine and Clinical Translation , Chengdu Institute of Biology, Chinese Academy of Sciences , Chengdu , People's Republic of China
| | - Fei Wang
- e Key Laboratory of Natural Medicine and Clinical Translation , Chengdu Institute of Biology, Chinese Academy of Sciences , Chengdu , People's Republic of China
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224
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Wang L, Chopp M, Lu X, Szalad A, Jia L, Liu XS, Wu KH, Lu M, Zhang ZG. miR-146a mediates thymosin β4 induced neurovascular remodeling of diabetic peripheral neuropathy in type-II diabetic mice. Brain Res 2018; 1707:198-207. [PMID: 30500399 DOI: 10.1016/j.brainres.2018.11.039] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2018] [Revised: 11/02/2018] [Accepted: 11/26/2018] [Indexed: 12/20/2022]
Abstract
Diabetes induces neurovascular dysfunction leading to peripheral neuropathy. MicroRNAs (miRNAs) affect many biological processes and the development of diabetic peripheral neuropathy. In the present study, we investigated whether thymosin-β4 (Tβ4) ameliorates diabetic peripheral neuropathy and whether miR-146a mediates the effect of Tβ4 on improved neurovascular function. Male Type II diabetic BKS. Cg-m+/+Leprdb/J (db/db) mice at age 20 weeks were treated with Tβ4 for 8 consecutive weeks, and db/db mice treated with saline were used as a control group. Compared to non-diabetic mice, diabetic mice exhibited substantially reduced miR-146a expression, and increased IL-1R-associated kinase-1 (IRAK1), tumor necrosis factor (TNFR)-associated factor 6 (TRAF6) levels and nuclear factor kappa-light-chain-enhancer of activated B cells (NFkB) activity in sciatic nerve tissues. Treatment of diabetic mice with Tβ4 significantly elevated miR-146a levels and overcame the effect of diabetes on these proteins. Tβ4 treatment substantially improved motor and sensory conduction velocity of the sciatic nerve, which was associated with improvements in sensory function. Tβ4 treatment significantly increased intraepidermal nerve fiber density and augmented local blood flow and the density of fluorescein isothiocyanate (FITC)-dextran perfused vessels in the sciatic nerve tissue. In vitro, treatment of dorsal root ganglion (DRG) neurons and mouse dermal endothelial cells (MDEs) with Tβ4 significantly increased axonal outgrowth and capillary-like tube formation, whereas blocking miR-146a attenuated Tβ4-induced axonal outgrowth and capillary tube formation, respectively. Our data indicate that miR-146a may mediate Tβ4-induced neurovascular remodeling in diabetic mice, by suppressing pro-inflammatory signals.
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Affiliation(s)
- Lei Wang
- Department of Neurology, Henry Ford Hospital, 2799 W. Grand Boulevard, Detroit, MI 48202, United States.
| | - Michael Chopp
- Department of Neurology, Henry Ford Hospital, 2799 W. Grand Boulevard, Detroit, MI 48202, United States; Department of Physics, Oakland University, Rochester, MI 48309, United States
| | - XueRong Lu
- Department of Neurology, Henry Ford Hospital, 2799 W. Grand Boulevard, Detroit, MI 48202, United States
| | - Alexandra Szalad
- Department of Neurology, Henry Ford Hospital, 2799 W. Grand Boulevard, Detroit, MI 48202, United States
| | - LongFei Jia
- Department of Neurology, Henry Ford Hospital, 2799 W. Grand Boulevard, Detroit, MI 48202, United States
| | - Xian Shuang Liu
- Department of Neurology, Henry Ford Hospital, 2799 W. Grand Boulevard, Detroit, MI 48202, United States
| | - Kuan-Han Wu
- Department of Biostatistics and Research Epidemiology, Henry Ford Hospital, 2799 W. Grand Boulevard, Detroit, MI 48202, United States
| | - Mei Lu
- Department of Biostatistics and Research Epidemiology, Henry Ford Hospital, 2799 W. Grand Boulevard, Detroit, MI 48202, United States
| | - Zheng Gang Zhang
- Department of Neurology, Henry Ford Hospital, 2799 W. Grand Boulevard, Detroit, MI 48202, United States
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225
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Dietary inflammatory index is positively associated with serum high-sensitivity C-reactive protein in a Korean adult population. Nutrition 2018; 63-64:155-161. [PMID: 30999247 DOI: 10.1016/j.nut.2018.11.016] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2018] [Revised: 11/01/2018] [Accepted: 11/20/2018] [Indexed: 12/31/2022]
Abstract
OBJECTIVE To our knowledge, only a few studies have explored the relationship between the inflammatory potential of diet and serum inflammatory markers in Korean adults. The likely novel aim of this study was to examine the association between the dietary inflammatory index (DII) and serum high-sensitivity C-reactive protein (hs-CRP) in a Korean adult population. METHODS A cross-sectional study was conducted using the data set from the Korea National Health and Nutrition Examination Survey (KNHANES) 2015. Korean adults ≥19 y of age with hs-CRP values were included in this study. After excluding individuals with missing variables for covariates, the final analytic sample for the study was 3014 adults (1295 men and 1719 women). DII scores were calculated from a 1-d 24-h dietary recall, and hs-CRP was measured using the immunoturbidimetric method. Multivariable logistic regression analyses were performed to calculate adjusted odds ratios (AORs) and 95% confidence intervals (CIs) to test the effect of the DII score on serum hs-CRP as dichotomous (>2 versus ≤2 mg/L). RESULTS A significant association was observed between increasing DII scores and elevated hs-CRP. Korean adults in the highest quintile of the DII (indicating the most proinflammatory diet), compared with the lowest quintile of the DII (indicating the most anti-inflammatory diet), had increased odds of having elevated hs-CRP concentrations (>2 mg/L; AOR, 1.70; 95% CI, 1.07-2.69; Ptrend < 0.0001) after controlling for age, sex, education, marital status, alcohol consumption, smoking status, body mass index, high-density lipoprotein cholesterol, and physical activity. CONCLUSION Higher DII scores were positively associated with elevated hs-CRP levels in Korean adults. Because inflammation affects the risk for cancer, cardiovascular disease, and other inflammation-related conditions, future studies are warranted to examine the effect of the DII on other inflammatory biomarkers and chronic disease outcomes among the Korean population.
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226
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Pal S, Nath P, Das D, Hajra S, Maitra S. Cross-talk between insulin signalling and LPS responses in mouse macrophages. Mol Cell Endocrinol 2018; 476:57-69. [PMID: 29715496 DOI: 10.1016/j.mce.2018.04.009] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2017] [Revised: 03/24/2018] [Accepted: 04/24/2018] [Indexed: 12/16/2022]
Abstract
The effect of insulin priming on Il-10 expression, regulation of inflammatory cytokines and participation of intra-cellular signalling events, primarily ERK1/2 and PI3K/Akt, has been investigated in high glucose (HG) and/or lipopolysaccharide (LPS)-induced murine macrophages. Our results demonstrate that congruent with sharp increase in ERK1/2 and CREB phosphorylation, insulin stimulation in vitro promotes significant increase in Il-10 expression in mouse peritoneal macrophage and RAW 264.7 cells, both positive for anti-IRβ. Pharmacological inhibition of MEK/MAPK, but not PI3K/Akt cascade, abrogates CREB phosphorylation and Il-10 synthesis indicating functional relevance of insulin action. Conversely, priming with PI3K inhibitor wortmannin prevents insulin attenuation of HG- and/or LPS-induced p38 MAPK and NF-κB activation, Tnf-α, Il-1β expression as well as NO production. Congruent with reduced Il-10 expression, MEK inhibition abrogates insulin action allowing significant increase in Tlr4 expression and LPS response indicating insulin-induced Il-10 might have pivotal influence in regulation of chronic as well as acute inflammatory response.
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Affiliation(s)
- Soumojit Pal
- Department of Zoology, Visva-Bharati University, Santiniketan 731235, India
| | - Poulomi Nath
- Department of Zoology, Visva-Bharati University, Santiniketan 731235, India
| | - Debabrata Das
- Department of Genetics, University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Sudip Hajra
- Department of Zoology, Visva-Bharati University, Santiniketan 731235, India
| | - Sudipta Maitra
- Department of Zoology, Visva-Bharati University, Santiniketan 731235, India.
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227
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Makkar H, Reynolds MA, Wadhawan A, Dagdag A, Merchant AT, Postolache TT. Periodontal, metabolic, and cardiovascular disease: Exploring the role of inflammation and mental health. Pteridines 2018; 29:124-163. [PMID: 30705520 PMCID: PMC6350811 DOI: 10.1515/pteridines-2018-0013] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Previous evidence connects periodontal disease, a modifiable condition affecting a majority of Americans, with metabolic and cardiovascular morbidity and mortality. This review focuses on the likely mediation of these associations by immune activation and their potential interactions with mental illness. Future longitudinal, and ideally interventional studies, should focus on reciprocal interactions and cascading effects, as well as points for effective preventative and therapeutic interventions across diagnostic domains to reduce morbidity, mortality and improve quality of life.
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Affiliation(s)
- Hina Makkar
- Mood and Anxiety Program, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Mark A Reynolds
- Department of Advanced Oral Sciences & Therapeutics, University of Maryland School of Dentistry, Baltimore, MD 21201, USA
| | - Abhishek Wadhawan
- Mood and Anxiety Program, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Aline Dagdag
- Mood and Anxiety Program, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Anwar T Merchant
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
| | - Teodor T Postolache
- Mood and Anxiety Program, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21201, USA; Rocky Mountain Mental Illness Research Education and Clinical Center (MIRECC), Veterans Integrated Service Network (VISN) 19, Military and Veteran Microbiome Consortium for Research and Education (MVM-CoRE), Denver, CO 80220, USA; Mental Illness Research, Education and Clinical Center (MIRECC), Veterans Integrated Service Network (VISN) 5, VA Capitol Health Care Network, Baltimore, MD 21201, USA,
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228
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Lilly LN, Heiss CJ, Maragoudakis SF, Braden KL, Smith SE. The Effect of Added Peanut Butter on the Glycemic Response to a High-Glycemic Index Meal: A Pilot Study. J Am Coll Nutr 2018; 38:351-357. [PMID: 30395790 DOI: 10.1080/07315724.2018.1519404] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
OBJECTIVE The purpose of this pilot study was to determine whether supplementation of a high-glycemic index breakfast meal with peanut butter attenuates the glycemic response. METHODS Sixteen healthy adults, aged 24.1 ± 3.5 years, reported in the morning to a nutrition assessment laboratory for two days of data collection, having fasted 8 to 12 hours. On day 1 (control), fasting blood glucose (BG) was measured using glucometers, then participants consumed two slices of white bread and 250 mL apple juice (60 g carbohydrate) within 15 minutes. BG was measured again at 15, 30, 60, 90, and 120 minutes after the first bite of the meal. On day 2, the protocol was repeated, except 32 g (2 tbsp) of peanut butter was added to the meal (treatment). RESULTS The spike in BG was significantly lower on the treatment versus control day (35.8 ± 16.4 vs. 51.0 ± 20.8 mg/dL, respectively; p < 0.01), and BG was significantly lower on the treatment day at 15, 30, and 60 minutes post-meal consumption (p < 0.05). CONCLUSIONS This study indicates that supplementation with 32 g (2 tbsp) peanut butter attenuates the magnitude of BG spike and overall glycemic response to high-glycemic index meal and may be a practical, beneficial strategy to prevent undesirable elevations in BG.
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Affiliation(s)
- Lesley N Lilly
- a Department of Nutrition, School of Mathematics Science and Engineering , University of the Incarnate Word , San Antonio , Texas , USA
| | - Cynthia J Heiss
- a Department of Nutrition, School of Mathematics Science and Engineering , University of the Incarnate Word , San Antonio , Texas , USA
| | - Sofia F Maragoudakis
- a Department of Nutrition, School of Mathematics Science and Engineering , University of the Incarnate Word , San Antonio , Texas , USA
| | - Kelli L Braden
- a Department of Nutrition, School of Mathematics Science and Engineering , University of the Incarnate Word , San Antonio , Texas , USA
| | - Scott E Smith
- b Department of Mathematics and Statistics, School of Mathematics, Science, and Engineering , University of the Incarnate Word , San Antonio , Texas , USA
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229
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Pretorius L, Thomson GJA, Adams RCM, Nell TA, Laubscher WA, Pretorius E. Platelet activity and hypercoagulation in type 2 diabetes. Cardiovasc Diabetol 2018; 17:141. [PMID: 30388964 PMCID: PMC6214175 DOI: 10.1186/s12933-018-0783-z] [Citation(s) in RCA: 74] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2018] [Accepted: 10/26/2018] [Indexed: 02/07/2023] Open
Abstract
Background A strong correlation exists between type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD), with CVD and the presence of atherosclerosis being the prevailing cause of morbidity and mortality in diabetic populations. T2DM is accompanied by various coagulopathies, including anomalous clot formation or amyloid fibrin(ogen), the presence of dysregulated inflammatory molecules. Platelets are intimately involved in thrombus formation and particularly vulnerable to inflammatory cytokines. Methods The aim of this current study was therefore to assess whole blood (hyper)coagulability, platelet ultrastructure and receptor expression, as well as the levels of IL-1β, IL-6, IL-8 and sP-selectin in healthy and diabetic individuals. Platelet morphology was assessed through scanning electron microscopy (SEM), while assessment of GPIIb/IIIa receptor expression was performed with confocal microscopy and flow cytometry with the addition of FITC-PAC-1 and CD41-PE antibodies. IL-1β, IL-6 and IL-8 and sP-selectin levels were assessed using a multiplex assay. Results In T2DM there is significant upregulation of circulating inflammatory markers, hypercoagulation and platelet activation, with increased GPIIb/IIIa receptor expression, as seen with flow cytometry and confocal microscopy. Analyses showed that these receptors were additionally shed onto microparticles, which was confirmed with SEM. Conclusions Cumulatively, this provides mechanistic evidence that pathological states of platelets together with amyloid fibrin(ogen) in T2DM, might underpin an increased risk for cardiovascular events.
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Affiliation(s)
- Lesha Pretorius
- Department of Physiological Sciences, Stellenbosch University, Stellenbosch Private Bag X1, Stellenbosch, 7602, South Africa
| | - Greig J A Thomson
- Department of Physiological Sciences, Stellenbosch University, Stellenbosch Private Bag X1, Stellenbosch, 7602, South Africa
| | - Rozanne C M Adams
- Department of Physiological Sciences, Stellenbosch University, Stellenbosch Private Bag X1, Stellenbosch, 7602, South Africa.,Central Analytical Facilities, Fluorescence Imaging Unit Stellenbosch University, Stellenbosch Private Bag X1, Stellenbosch, 7602, South Africa
| | - Theo A Nell
- Department of Physiological Sciences, Stellenbosch University, Stellenbosch Private Bag X1, Stellenbosch, 7602, South Africa
| | - Willem A Laubscher
- Department of Physiological Sciences, Stellenbosch University, Stellenbosch Private Bag X1, Stellenbosch, 7602, South Africa.,Department of Electronic and Electric Engineering, Faculty of Engineering, Stellenbosch University, Stellenbosch Private Bag X1, Stellenbosch, 7602, South Africa
| | - Etheresia Pretorius
- Department of Physiological Sciences, Stellenbosch University, Stellenbosch Private Bag X1, Stellenbosch, 7602, South Africa.
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230
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Retnakaran R. Hyperglycemia in pregnancy and its implications for a woman's future risk of cardiovascular disease. Diabetes Res Clin Pract 2018; 145:193-199. [PMID: 29679623 DOI: 10.1016/j.diabres.2018.04.008] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2017] [Accepted: 04/04/2018] [Indexed: 01/13/2023]
Abstract
It is well established that gestational diabetes mellitus (GDM) identifies a population of women who are at risk of ultimately developing type 2 diabetes (T2DM) later in life. Moreover, this relationship extends across the full spectrum of hyperglycemia in pregnancy, with lesser degrees of gestational dysglycemia identifying a proportionate gradient of future risk of T2DM. Importantly, a growing body of evidence suggests that an analogous relationship exists between hyperglycemia in pregnancy and a woman's long-term risk of cardiovascular disease (CVD), as well. Indeed, as compared to their peers, woman who had GDM have a higher risk of major cardiovascular events, which first manifests within the first decade after the index pregnancy. Although the absolute incidence of such events remains low in young women of child-bearing age, the identification of future risk of CVD at this early point in its natural history may provide the unique opportunity for timely intervention and ideally disease prevention. Thus, in this review, we discuss the emerging concept of hyperglycemia in pregnancy as an indicator of the future risk of CVD in young women and its implications for research and clinical practice.
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Affiliation(s)
- Ravi Retnakaran
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Canada; Division of Endocrinology, University of Toronto, Toronto, Canada; Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Canada.
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231
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Ligthart S, Vaez A, Võsa U, Stathopoulou MG, de Vries PS, Prins BP, Van der Most PJ, Tanaka T, Naderi E, Rose LM, Wu Y, Karlsson R, Barbalic M, Lin H, Pool R, Zhu G, Macé A, Sidore C, Trompet S, Mangino M, Sabater-Lleal M, Kemp JP, Abbasi A, Kacprowski T, Verweij N, Smith AV, Huang T, Marzi C, Feitosa MF, Lohman KK, Kleber ME, Milaneschi Y, Mueller C, Huq M, Vlachopoulou E, Lyytikäinen LP, Oldmeadow C, Deelen J, Perola M, Zhao JH, Feenstra B, Amini M, Lahti J, Schraut KE, Fornage M, Suktitipat B, Chen WM, Li X, Nutile T, Malerba G, Luan J, Bak T, Schork N, Del Greco M F, Thiering E, Mahajan A, Marioni RE, Mihailov E, Eriksson J, Ozel AB, Zhang W, Nethander M, Cheng YC, Aslibekyan S, Ang W, Gandin I, Yengo L, Portas L, Kooperberg C, Hofer E, Rajan KB, Schurmann C, den Hollander W, Ahluwalia TS, Zhao J, Draisma HHM, Ford I, Timpson N, Teumer A, Huang H, Wahl S, Liu Y, Huang J, Uh HW, Geller F, Joshi PK, Yanek LR, Trabetti E, Lehne B, Vozzi D, Verbanck M, Biino G, Saba Y, Meulenbelt I, O'Connell JR, Laakso M, Giulianini F, Magnusson PKE, Ballantyne CM, Hottenga JJ, Montgomery GW, Rivadineira F, Rueedi R, Steri M, Herzig KH, Stott DJ, Menni C, Frånberg M, St Pourcain B, Felix SB, Pers TH, Bakker SJL, Kraft P, Peters A, Vaidya D, Delgado G, Smit JH, Großmann V, Sinisalo J, Seppälä I, Williams SR, Holliday EG, Moed M, Langenberg C, Räikkönen K, Ding J, Campbell H, Sale MM, Chen YDI, James AL, Ruggiero D, Soranzo N, Hartman CA, Smith EN, Berenson GS, Fuchsberger C, Hernandez D, Tiesler CMT, Giedraitis V, Liewald D, Fischer K, Mellström D, Larsson A, Wang Y, Scott WR, Lorentzon M, Beilby J, Ryan KA, Pennell CE, Vuckovic D, Balkau B, Concas MP, Schmidt R, Mendes de Leon CF, Bottinger EP, Kloppenburg M, Paternoster L, Boehnke M, Musk AW, Willemsen G, Evans DM, Madden PAF, Kähönen M, Kutalik Z, Zoledziewska M, Karhunen V, Kritchevsky SB, Sattar N, Lachance G, Clarke R, Harris TB, Raitakari OT, Attia JR, van Heemst D, Kajantie E, Sorice R, Gambaro G, Scott RA, Hicks AA, Ferrucci L, Standl M, Lindgren CM, Starr JM, Karlsson M, Lind L, Li JZ, Chambers JC, Mori TA, de Geus EJCN, Heath AC, Martin NG, Auvinen J, Buckley BM, de Craen AJM, Waldenberger M, Strauch K, Meitinger T, Scott RJ, McEvoy M, Beekman M, Bombieri C, Ridker PM, Mohlke KL, Pedersen NL, Morrison AC, Boomsma DI, Whitfield JB, Strachan DP, Hofman A, Vollenweider P, Cucca F, Jarvelin MR, Jukema JW, Spector TD, Hamsten A, Zeller T, Uitterlinden AG, Nauck M, Gudnason V, Qi L, Grallert H, Borecki IB, Rotter JI, März W, Wild PS, Lokki ML, Boyle M, Salomaa V, Melbye M, Eriksson JG, Wilson JF, Penninx BWJH, Becker DM, Worrall BB, Gibson G, Krauss RM, Ciullo M, Zaza G, Wareham NJ, Oldehinkel AJ, Palmer LJ, Murray SS, Pramstaller PP, Bandinelli S, Heinrich J, Ingelsson E, Deary IJ, Mägi R, Vandenput L, van der Harst P, Desch KC, Kooner JS, Ohlsson C, Hayward C, Lehtimäki T, Shuldiner AR, Arnett DK, Beilin LJ, Robino A, Froguel P, Pirastu M, Jess T, Koenig W, Loos RJF, Evans DA, Schmidt H, Smith GD, Slagboom PE, Eiriksdottir G, Morris AP, Psaty BM, Tracy RP, Nolte IM, Boerwinkle E, Visvikis-Siest S, Reiner AP, Gross M, Bis JC, Franke L, Franco OH, Benjamin EJ, Chasman DI, Dupuis J, Snieder H, Dehghan A, Alizadeh BZ. Genome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders. Am J Hum Genet 2018; 103:691-706. [PMID: 30388399 PMCID: PMC6218410 DOI: 10.1016/j.ajhg.2018.09.009] [Citation(s) in RCA: 255] [Impact Index Per Article: 42.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Accepted: 09/20/2018] [Indexed: 02/07/2023] Open
Abstract
C-reactive protein (CRP) is a sensitive biomarker of chronic low-grade inflammation and is associated with multiple complex diseases. The genetic determinants of chronic inflammation remain largely unknown, and the causal role of CRP in several clinical outcomes is debated. We performed two genome-wide association studies (GWASs), on HapMap and 1000 Genomes imputed data, of circulating amounts of CRP by using data from 88 studies comprising 204,402 European individuals. Additionally, we performed in silico functional analyses and Mendelian randomization analyses with several clinical outcomes. The GWAS meta-analyses of CRP revealed 58 distinct genetic loci (p < 5 × 10-8). After adjustment for body mass index in the regression analysis, the associations at all except three loci remained. The lead variants at the distinct loci explained up to 7.0% of the variance in circulating amounts of CRP. We identified 66 gene sets that were organized in two substantially correlated clusters, one mainly composed of immune pathways and the other characterized by metabolic pathways in the liver. Mendelian randomization analyses revealed a causal protective effect of CRP on schizophrenia and a risk-increasing effect on bipolar disorder. Our findings provide further insights into the biology of inflammation and could lead to interventions for treating inflammation and its clinical consequences.
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Affiliation(s)
- Symen Ligthart
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Ahmad Vaez
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands; Department of Bioinformatics, Isfahan University of Medical Sciences, Isfahan 81746-73461, Iran
| | - Urmo Võsa
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands; Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | | | - Paul S de Vries
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3000 CA, the Netherlands; Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Bram P Prins
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton CB10 1SA, UK
| | - Peter J Van der Most
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands
| | - Toshiko Tanaka
- Translational Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA
| | - Elnaz Naderi
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands; Department of Radiation Oncology, University of Groningen, University Medical Center Groningen, Groningen 9713 GZ, the Netherlands
| | - Lynda M Rose
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA 02215, USA
| | - Ying Wu
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Robert Karlsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 17177, Sweden
| | - Maja Barbalic
- University of Split School of Medicine, Split 21000, Croatia
| | - Honghuang Lin
- Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
| | - René Pool
- Department of Biological Psychology, Netherlands Twin Register, Vrije Universiteit, Amsterdam 1081 BT, the Netherlands; Amsterdam Public Health research institute, VU University Medical Center, Amsterdam 1081 BT, the Netherlands
| | - Gu Zhu
- QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Aurélien Macé
- Department of Computational Biology, University of Lausanne, Lausanne 1010, Switzerland; Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland; Institute of Social and Preventive Medicine, University Hospital of Lausanne, Lausanne 1010, Switzerland
| | - Carlo Sidore
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Sardinia 08045, Italy
| | - Stella Trompet
- Department of Cardiology, Leiden University Medical Center, Leiden 2300 RC, the Netherlands; Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden 2333 ZA, the Netherlands
| | - Massimo Mangino
- Department of Twin Research & Genetic Epidemiology, King's College London, London SE1 7EH, UK; NIHR Biomedical Research Centre at Guy's and St. Thomas' Foundation Trust, London SE1 9RT, UK
| | - Maria Sabater-Lleal
- Unit of Genomics of Complex Diseases, Institut d'Investigació Biomèdica Sant Pau, Barcelona 08025, Spain; Cardiovascular Medicine Unit, Department of Medicine, Center for Molecular Medicine, Karolinska Institutet, Stockholm 17176, Sweden
| | - John P Kemp
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, QLD 4102, Australia; MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK
| | - Ali Abbasi
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands; Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen 9713 GZ, the Netherlands; MRC Epidemiology Unit, University of Cambridge School of Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Addenbrooke's Hospital, Cambridge CB2 0QQ, UK
| | - Tim Kacprowski
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine and Ernst-Moritz-Arndt University Greifswald, Greifswald 17475, Germany; German Centre for Cardiovascular Research, Partner Site Greifswald, Greifswald 17475, Germany
| | - Niek Verweij
- University of Groningen, University Medical Center Groningen, Department of Cardiology, Groningen 9713 AV, the Netherlands
| | - Albert V Smith
- Icelandic Heart Association, Kopavogur 201, Iceland; Faculty of Medicine, University of Iceland, Reykjavik 101, Iceland
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Carola Marzi
- Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany; German Center for Diabetes Research, Partner Site Munich, Munich 85764, Germany
| | - Mary F Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO 63108-2212, USA
| | - Kurt K Lohman
- Department of Epidemiology and Prevention, Public Health Sciences, Wake Forest University Health Sciences, Winston-Salem, NC 27157, USA
| | - Marcus E Kleber
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim 68167, Germany
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam Neuroscience and Amsterdam Public Health Research Institute, Amsterdam University Medical Center/GGZ inGeest Research & Innovation, Amsterdam 1081 HJ, the Netherlands
| | - Christian Mueller
- Department of General and Interventional Cardiology, University Heart Center Hamburg, Hamburg 20246, Germany; Institute of Medical Biometry and Statistics, University Medical Center Schleswig-Holstein, Campus Luebeck, Lübeck 23562, Germany; German Center for Cardiovascular Research, Partner Site RhineMain, 55131 Mainz, Germany
| | - Mahmudul Huq
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands
| | - Efthymia Vlachopoulou
- Transplantation Laboratory, Medicum, University of Helsinki, Helsinki 00014, Finland
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere 33014, Finland; Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Life Sciences, University of Tampere, Tampere 33520, Finland
| | - Christopher Oldmeadow
- Hunter Medical Research Institute, New Lambon Heights, NSW 2305, Australia; Centre for Clinical Epidemiology & Biostatistics, Faculty of Health and Medicine, University of Newcastle, Callaghan, NSW 2308, Australia
| | - Joris Deelen
- Molecular Epidemiology, Leiden University Medical Center, Leiden 2333 ZC, the Netherlands; Max Planck Institute for Biology of Ageing, Cologne 50931, Germany
| | - Markus Perola
- National Institute for Health and Welfare, Helsinki 00271, Finland
| | - Jing Hua Zhao
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge CB2 0QQ, UK
| | - Bjarke Feenstra
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen 2300, Denmark
| | - Marzyeh Amini
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands
| | - Jari Lahti
- Helsinki Collegium for Advanced Studies, University of Helsinki, Helsinki 00014, Finland; Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki 00014, Finland; Folkhälsan Research Centre, Helsinki 00250, Finland
| | - Katharina E Schraut
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh EH16 4UX, UK
| | - Myriam Fornage
- Human Genetics Center, School of Public Health and Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Bhoom Suktitipat
- Department of Biochemistry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Wei-Min Chen
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA
| | - Xiaohui Li
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Teresa Nutile
- Institute of Genetics and Biophysics "A. Buzzati-Traverso," Consiglio Nazionale delle Ricerche, Napoli 80131, Italy
| | - Giovanni Malerba
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona 37134, Italy
| | - Jian'an Luan
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge CB2 0QQ, UK
| | - Tom Bak
- Interdisciplinary Center Psychopathology and Emotion regulation, University Medical Center Groningen, University of Groningen, Groningen 9700 RB, the Netherlands
| | - Nicholas Schork
- Human Biology, J. Craig Venter Institute, La Jolla, CA 92037, USA; Quantitative Medicine, Translational Genomics Research Institute, Phoenix, AZ 85004, USA
| | - Fabiola Del Greco M
- Institute for Biomedicine, Eurac Research, Affiliated Institute of the University of Lübeck, Bolzano 39100, Italy
| | - Elisabeth Thiering
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Centre for Environmental Health, Neuherberg 85764, Germany; Ludwig Maximilian University of Munich, Dr. von Hauner Children's Hospital, Munich 80337, Germany
| | - Anubha Mahajan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Riccardo E Marioni
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK; Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Evelin Mihailov
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | - Joel Eriksson
- Department of Internal Medicine and Clinical Nutrition, University of Gothenburg, Gothenburg 41345, Sweden
| | - Ayse Bilge Ozel
- Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109-5618, USA
| | - Weihua Zhang
- Department of Epidemiology and Biostatistics, Imperial College London, London W2 1PG, UK; Department of Cardiology, Ealing Hospital, Middlesex UB1 3HW, UK
| | - Maria Nethander
- Bioinformatics Core Facility, Sahlgrenska Academy, University of Gothenburg, Gothenburg 413 90, Sweden
| | - Yu-Ching Cheng
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Stella Aslibekyan
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL 35294-0022, USA
| | - Wei Ang
- Medical School, University of Western Australia, Perth, WA 6009, Australia
| | | | - Loïc Yengo
- Centre National de la Recherche Scientifique UMR 8199, University of Lille, Institut Pasteur de Lille, European Genomic Institute for Diabetes, FR 3508, 59000 Lille, France; Program in Complex Trait Genomics, Institute for Molecular Bioscience, University of Queensland, St. Lucia, Brisbane, QLD 4072, Australia
| | - Laura Portas
- Support OU, Institute of Genetic and Biomedic Research, Consiglio Nazionale delle Ricerche, Sassari 7100, Italy
| | - Charles Kooperberg
- Fred Hutchinson Cancer Research Center, Public Health Sciences Division, Mail Stop M3-A410, 1100 Fairview Ave. N., Seattle, WA, USA
| | - Edith Hofer
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University Graz, Graz 8036, Austria; Institute of Medical Informatics, Statistics and Documentation, Medical University Graz, Graz 8036, Austria
| | - Kumar B Rajan
- Department of Internal Medicine, Rush University Medical Center, Chicago, IL 60612, USA
| | - Claudia Schurmann
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Genetics of Obesity and Related Metabolic Traits Program, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Wouter den Hollander
- Department of Medical Statistics and Bio-informatics, Section Molecular Epidemiology, Leiden University Medical Center, Leiden 2333 ZC, the Netherlands
| | - Tarunveer S Ahluwalia
- Steno Diabetes Center Copenhagen, Gentofte 2820, Denmark; Novo Nordisk Foundation Centre for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2100, Denmark
| | - Jing Zhao
- Center for Integrative Genomics, School of Biology, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Harmen H M Draisma
- Department of Biological Psychology, Netherlands Twin Register, Vrije Universiteit, Amsterdam 1081 BT, the Netherlands; Amsterdam Public Health research institute, VU University Medical Center, Amsterdam 1081 BT, the Netherlands; Neuroscience Campus Amsterdam, Amsterdam 1081 HV, the Netherlands
| | - Ian Ford
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow G12 8QQ, UK
| | - Nicholas Timpson
- MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK
| | - Alexander Teumer
- Department SHIP-KEF, Institute for Community Medicine, University Medicine Greifswald, Greifswald 17475, Germany
| | - Hongyan Huang
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Simone Wahl
- Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany; German Center for Diabetes Research, Partner Site Munich, Munich 85764, Germany
| | - YongMei Liu
- Department of Epidemiology and Prevention, Public Health Sciences, Wake Forest University Health Sciences, Winston-Salem, NC 27157, USA
| | - Jie Huang
- Boston VA Research Institute, Inc., Boston, MA 02130, USA
| | - Hae-Won Uh
- Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden 2333 ZC, the Netherlands
| | - Frank Geller
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen 2300, Denmark
| | - Peter K Joshi
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh EH16 4UX, UK
| | - Lisa R Yanek
- GeneSTAR Research Center, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Elisabetta Trabetti
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona 37134, Italy
| | - Benjamin Lehne
- Department of Epidemiology and Biostatistics, Imperial College London, London W2 1PG, UK
| | - Diego Vozzi
- Institute for Maternal and Child Health, IRCCS "Burlo Garofolo," Trieste 34140, Italy
| | - Marie Verbanck
- Centre National de la Recherche Scientifique UMR 8199, University of Lille, Institut Pasteur de Lille, European Genomic Institute for Diabetes, FR 3508, 59000 Lille, France
| | - Ginevra Biino
- Institute of Molecular Genetics, Consiglio Nazionale delle Ricerche, Pavia 27100, Italy
| | - Yasaman Saba
- Gottfried Schatz Research Center, Institute for Molecular Biology and Biochemistry, 8010 Graz, Austria
| | - Ingrid Meulenbelt
- Department of Medical Statistics and Bio-informatics, Section Molecular Epidemiology, Leiden University Medical Center, Leiden 2333 ZC, the Netherlands
| | - Jeff R O'Connell
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio 70210, Finland
| | - Franco Giulianini
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA 02215, USA
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 17177, Sweden
| | - Christie M Ballantyne
- Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA; Methodist DeBakey Heart and Vascular Center, Houston, TX 77030, USA
| | - Jouke Jan Hottenga
- Department of Biological Psychology, Netherlands Twin Register, Vrije Universiteit, Amsterdam 1081 BT, the Netherlands
| | - Grant W Montgomery
- QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Fernando Rivadineira
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam 3015 CN, the Netherlands
| | - Rico Rueedi
- Department of Computational Biology, University of Lausanne, Lausanne 1010, Switzerland; Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland
| | - Maristella Steri
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Sardinia 08045, Italy
| | - Karl-Heinz Herzig
- Department of Physiology, Institute of Biomedicine, University of Oulu, Medical Research Center Oulu and Oulu University Hospital, Oulu 90014, Finland; Biocenter Oulu, University of Oulu, Oulu 90220, Finland; Department of Gastroenterology and Metabolism, Poznan University of Medical Sciences, Poznan 60-512, Poland
| | - David J Stott
- Institute of Cardiovascular and Medical Sciences, Faculty of Medicine, University of Glasgow, Glasgow G12 8QQ, UK
| | - Cristina Menni
- Department of Twin Research & Genetic Epidemiology, King's College London, London SE1 7EH, UK
| | - Mattias Frånberg
- Cardiovascular Medicine Unit, Department of Medicine, Center for Molecular Medicine, Karolinska Institutet, Stockholm 17176, Sweden; Department of Numerical Analysis and Computer Science, Stockholm University, Stockholm 100 44, Sweden
| | - Beate St Pourcain
- MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK; Donders Institute, Radboud University, Nijmegen 6525 XD, the Netherlands
| | - Stephan B Felix
- German Centre for Cardiovascular Research, Partner Site Greifswald, Greifswald 17475, Germany; Department for Internal Medicine B, University Medicine Greifswald, Greifswald 17475, Germany
| | - Tune H Pers
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen 2300, Denmark; Novo Nordisk Foundation Centre for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2100, Denmark
| | - Stephan J L Bakker
- Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen 9713 GZ, the Netherlands
| | - Peter Kraft
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Annette Peters
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherber 85764, Germany
| | - Dhananjay Vaidya
- GeneSTAR Research Center, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Graciela Delgado
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim 68167, Germany
| | - Johannes H Smit
- Department of Psychiatry, Amsterdam Neuroscience and Amsterdam Public Health Research Institute, Amsterdam University Medical Center/GGZ inGeest Research & Innovation, Amsterdam 1081 HJ, the Netherlands
| | - Vera Großmann
- Center for Thrombosis and Hemostasis, University Medical Center of the Johannes Gutenberg University Mainz, Mainz 55131, Germany
| | - Juha Sinisalo
- Heart and Lung Center, Helsinki University Hospital and Helsinki University, Helsinki 00029, Finland
| | - Ilkka Seppälä
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere 33014, Finland; Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Life Sciences, University of Tampere, Tampere 33520, Finland
| | - Stephen R Williams
- Department of Neurology, University of Virginia, Charlottesville, VA 22908, USA
| | - Elizabeth G Holliday
- Hunter Medical Research Institute, New Lambon Heights, NSW 2305, Australia; Centre for Clinical Epidemiology & Biostatistics, Faculty of Health and Medicine, University of Newcastle, Callaghan, NSW 2308, Australia
| | - Matthijs Moed
- Molecular Epidemiology, Leiden University Medical Center, Leiden 2333 ZC, the Netherlands
| | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge CB2 0QQ, UK
| | - Katri Räikkönen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki 00014, Finland
| | - Jingzhong Ding
- Department of Internal Medicine/Geriatrics, Wake Forest University Health Sciences, Winston-Salem, NC 27157, USA
| | - Harry Campbell
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh EH16 4UX, UK
| | - Michele M Sale
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA
| | - Yii-Der I Chen
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Alan L James
- Busselton Population Medical Research Institute, Sir Charles Gairdner Hospital, Nedlands, WA 6009, Australia; Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Nedlands, WA 6009, Australia
| | - Daniela Ruggiero
- Institute of Genetics and Biophysics "A. Buzzati-Traverso," Consiglio Nazionale delle Ricerche, Napoli 80131, Italy; IRCCS Neuromed, Pozzilli (IS) 86077, Italy
| | - Nicole Soranzo
- Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK
| | - Catharina A Hartman
- Interdisciplinary Center Psychopathology and Emotion regulation, University Medical Center Groningen, University of Groningen, Groningen 9700 RB, the Netherlands
| | - Erin N Smith
- Department of Pediatrics and Rady Children's Hospital, School of Medicine, University of California, San Diego, La Jolla, CA 92037, USA
| | - Gerald S Berenson
- Center for Cardiovascular Health, Tulane University, New Orleans, LA 70112, USA
| | - Christian Fuchsberger
- Institute for Biomedicine, Eurac Research, Affiliated Institute of the University of Lübeck, Bolzano 39100, Italy
| | - Dena Hernandez
- Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD 20892, USA
| | - Carla M T Tiesler
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Centre for Environmental Health, Neuherberg 85764, Germany; Ludwig Maximilian University of Munich, Dr. von Hauner Children's Hospital, Munich 80337, Germany
| | - Vilmantas Giedraitis
- Department of Public Health and Caring Sciences, Molecular Geriatrics, Uppsala University, Uppsala 752 37, Sweden
| | - David Liewald
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Krista Fischer
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | - Dan Mellström
- Department of Internal Medicine and Clinical Nutrition, University of Gothenburg, Gothenburg 41345, Sweden
| | - Anders Larsson
- Department of Medical Sciences, Uppsala University, Uppsala 751 41, Sweden
| | - Yunmei Wang
- Department of Medicine, Case Cardiovascular Research Institute, Case Western Reserve University, Harrington Heart & Vascular Institute, University Hospitals, Cleveland, OH 44106, USA
| | - William R Scott
- Department of Epidemiology and Biostatistics, Imperial College London, London W2 1PG, UK
| | - Matthias Lorentzon
- Department of Internal Medicine and Clinical Nutrition, University of Gothenburg, Gothenburg 41345, Sweden; Geriatric Medicine, Sahlgrenska University Hospital, Mölndal 431 80, Sweden
| | - John Beilby
- PathWest Laboratory Medicine WA, Nedlands, WA 6009, Australia; School of Biomedical Sciences, University of Western Australia, Crawley, Perth, WA 6009, Australia
| | - Kathleen A Ryan
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Craig E Pennell
- Medical School, University of Western Australia, Perth, WA 6009, Australia
| | - Dragana Vuckovic
- Medical Sciences, Surgical and Health Department, University of Trieste, Trieste 34137, Italy
| | - Beverly Balkau
- INSERM U1018, Centre de Recherche en Epidémiologie et Santé des Populations, Team 5 (EpReC, Renal, and Cardiovascular Epidemiology), Université de Versailles Saint-Quentin-en-Yvelines, Université Paris-Saclay, Villejuif 94807, France
| | - Maria Pina Concas
- Institute for Maternal and Child Health, IRCCS "Burlo Garofolo," Trieste 34140, Italy
| | - Reinhold Schmidt
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University Graz, Graz 8036, Austria
| | - Carlos F Mendes de Leon
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Erwin P Bottinger
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Pharmacology and Systems Therapeutics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Margreet Kloppenburg
- Department of Rheumatology, Leiden University Medical Center, Leiden 2300 RC, the Netherlands; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden 2333 ZC, the Netherlands
| | - Lavinia Paternoster
- MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - A W Musk
- Busselton Population Medical Research Institute, Sir Charles Gairdner Hospital, Nedlands, WA 6009, Australia; Department of Respiratory Medicine, Sir Charles Gairdner Hospital, Nedlands, WA 6009, Australia
| | - Gonneke Willemsen
- Department of Biological Psychology, Netherlands Twin Register, Vrije Universiteit, Amsterdam 1081 BT, the Netherlands
| | - David M Evans
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, QLD 4102, Australia; MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK
| | - Pamela A F Madden
- Department of Psychiatry, Washington University School of Medicine, 4560 Clayton Ave., Suite 1000, St. Louis, MO 63110, USA
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, Tampere 33520, Finland; Department of Clinical Physiology, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Life Sciences, University of Tampere, Tampere 33520, Finland
| | - Zoltán Kutalik
- Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland; Institute of Social and Preventive Medicine, University Hospital of Lausanne, Lausanne 1010, Switzerland
| | - Magdalena Zoledziewska
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Sardinia 08045, Italy
| | - Ville Karhunen
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, 90014 Oulun yliopisto, Finland
| | - Stephen B Kritchevsky
- Gerontology and Geriatric Medicine, Sticht Center on Aging and Rehabilitation, Wake Forest University Health Sciences, Winston-Salem, NC 27157, USA
| | - Naveed Sattar
- BHF Glasgow Cardiovascular Research Centre, Faculty of Medicine, Glasgow G12 8TA, UK
| | - Genevieve Lachance
- Department of Twin Research & Genetic Epidemiology, King's College London, London SE1 7EH, UK
| | - Robert Clarke
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Tamara B Harris
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, National Institutes of Health, Bethesda, MD 20892, USA
| | - Olli T Raitakari
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku 20520, Finland; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku 20520, Finland
| | - John R Attia
- Hunter Medical Research Institute, New Lambon Heights, NSW 2305, Australia; Centre for Clinical Epidemiology & Biostatistics, Faculty of Health and Medicine, University of Newcastle, Callaghan, NSW 2308, Australia; John Hunter Hospital, New Lambton Heights, NWS 2305, Australia
| | - Diana van Heemst
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden 2333 ZA, the Netherlands
| | - Eero Kajantie
- Chronic Disease Prevention Unit, National Institute for Health and Welfare, Helsinki 00014, Finland; Hospital for Children and Adolescents, Helsinki University Central Hospital and University of Helsinki, Helsinki 00290, Finland; Department of Obstetrics and Gynaecology, MRC Oulu, Oulu University Hospital and University of Oulu, Oulu 90014, Finland
| | - Rossella Sorice
- Institute of Genetics and Biophysics "A. Buzzati-Traverso," Consiglio Nazionale delle Ricerche, Napoli 80131, Italy
| | - Giovanni Gambaro
- Division of Nephrology and Dialysis, Columbus-Gemelli University Hospital, Università Cattolica del Sacro Cuore, Roma 168, Italy
| | - Robert A Scott
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge CB2 0QQ, UK
| | - Andrew A Hicks
- Institute for Biomedicine, Eurac Research, Affiliated Institute of the University of Lübeck, Bolzano 39100, Italy
| | - Luigi Ferrucci
- Translational Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA
| | - Marie Standl
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Centre for Environmental Health, Neuherberg 85764, Germany
| | - Cecilia M Lindgren
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7FZ, UK; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142, USA
| | - John M Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK; Alzheimer's Scotland Dementia Research Centre, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Magnus Karlsson
- Department of Clinical Sciences and Orthopaedic Surgery, Lund University, Malmo 20502, Sweden
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala 751 41, Sweden
| | - Jun Z Li
- Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109-5618, USA
| | - John C Chambers
- Department of Epidemiology and Biostatistics, Imperial College London, London W2 1PG, UK; Department of Cardiology, Ealing Hospital, Middlesex UB1 3HW, UK; Imperial College Healthcare NHS Trust, London W12 0HS, UK; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 308232, Singapore; MRC-PHE Centre for Environment and Health, Imperial College London, London W2 1PG, UK
| | - Trevor A Mori
- Medical School, University of Western Australia, Perth, WA 6009, Australia
| | - Eco J C N de Geus
- Department of Biological Psychology, Netherlands Twin Register, Vrije Universiteit, Amsterdam 1081 BT, the Netherlands; Amsterdam Public Health research institute, VU University Medical Center, Amsterdam 1081 BT, the Netherlands
| | - Andrew C Heath
- Department of Psychiatry, Washington University School of Medicine, 4560 Clayton Ave., Suite 1000, St. Louis, MO 63110, USA
| | - Nicholas G Martin
- QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Juha Auvinen
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, 90014 Oulun yliopisto, Finland; Unit of Primary Health Care, Oulu University Hospital, Oulu 90220, Finland
| | - Brendan M Buckley
- Department of Epidemiology and Public Health, University College Cork, Cork T12 K8AF, Ireland
| | - Anton J M de Craen
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden 2333 ZA, the Netherlands
| | - Melanie Waldenberger
- Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany; German Center for Cardiovascular Research, Partner Site Munich Heart Alliance, 80636 Munich, Germany
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany; Genetic Epidemiology, Institute of Medical Informatics, Biometry, and Epidemiology, Faculty of Medicine, Ludwig Maximilian University of Munich, Neuherberg 85764, Germany
| | - Thomas Meitinger
- Institute of Human Genetics, Technische Universität München, Munich 85764, Germany; Institute of Human Genetics, Helmholtz Zentrum München, Neuherberg 85764, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich 81377, Germany
| | - Rodney J Scott
- Hunter Medical Research Institute, New Lambon Heights, NSW 2305, Australia; Information-Based Medicine Stream, Hunter Medical Research Institute, New Lambton Heights, NSW 2305, Australia
| | - Mark McEvoy
- Hunter Medical Research Institute, New Lambon Heights, NSW 2305, Australia; Centre for Clinical Epidemiology & Biostatistics, Faculty of Health and Medicine, University of Newcastle, Callaghan, NSW 2308, Australia
| | - Marian Beekman
- Molecular Epidemiology, Leiden University Medical Center, Leiden 2333 ZC, the Netherlands
| | - Cristina Bombieri
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona 37134, Italy
| | - Paul M Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 17177, Sweden
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Dorret I Boomsma
- Department of Biological Psychology, Netherlands Twin Register, Vrije Universiteit, Amsterdam 1081 BT, the Netherlands
| | - John B Whitfield
- QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - David P Strachan
- Population Health Research Institute, St. George's, University of London, London SW17 0RE, UK
| | - Albert Hofman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Peter Vollenweider
- Department of Internal Medicine, Centre Hospitalier Universitaire Vaudois, Lausanne 1011, Switzerland
| | - Francesco Cucca
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Sardinia 08045, Italy
| | - Marjo-Riitta Jarvelin
- Biocenter Oulu, University of Oulu, Oulu 90220, Finland; Center for Life Course Health Research, Faculty of Medicine, University of Oulu, 90014 Oulun yliopisto, Finland; Unit of Primary Health Care, Oulu University Hospital, Oulu 90220, Finland; Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment & Health, School of Public Health, Imperial College London, London W2 1PG, UK; Department of Life Sciences, College of Health and Life Sciences, Brunel University London, Kingston Lane, Uxbridge, Middlesex UB8 3PH, UK
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden 2300 RC, the Netherlands; Durrer Center for Cardiogenetic Research, Amsterdam 3501 DG, the Netherlands; Interuniversity Cardiology Institute of the Netherlands, Utrecht 3511 EP, the Netherlands
| | - Tim D Spector
- Department of Twin Research & Genetic Epidemiology, King's College London, London SE1 7EH, UK
| | - Anders Hamsten
- Cardiovascular Medicine Unit, Department of Medicine, Center for Molecular Medicine, Karolinska Institutet, Stockholm 17176, Sweden
| | - Tanja Zeller
- Department of General and Interventional Cardiology, University Heart Center Hamburg, Hamburg 20246, Germany; German Center for Cardiovascular Research, Partner Site RhineMain, 55131 Mainz, Germany
| | - André G Uitterlinden
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3000 CA, the Netherlands; Department of Internal Medicine, Erasmus University Medical Center, Rotterdam 3015 CN, the Netherlands
| | - Matthias Nauck
- German Centre for Cardiovascular Research, Partner Site Greifswald, Greifswald 17475, Germany; Institute for Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald 17475, Germany
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur 201, Iceland; Faculty of Medicine, University of Iceland, Reykjavik 101, Iceland
| | - Lu Qi
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA
| | - Harald Grallert
- Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany; German Center for Diabetes Research, Partner Site Munich, Munich 85764, Germany
| | - Ingrid B Borecki
- Analytical Genetics Group, Regeneron Genetics Center, Regeneron Pharmaceuticals, Inc., Tarrytown, NY 10591, USA
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Winfried März
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim 68167, Germany; Synlab Academy, Synlab Holding Deutschland GmbH, Mannheim 68161, Germany; Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz 8036, Austria
| | - Philipp S Wild
- German Center for Cardiovascular Research, Partner Site RhineMain, 55131 Mainz, Germany; Center for Thrombosis and Hemostasis, University Medical Center of the Johannes Gutenberg University Mainz, Mainz 55131, Germany; Preventive Cardiology and Preventive Medicine, Center for Cardiology, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz 55131, Germany
| | - Marja-Liisa Lokki
- Transplantation Laboratory, Medicum, University of Helsinki, Helsinki 00014, Finland
| | - Michael Boyle
- John Hunter Hospital, New Lambton Heights, NWS 2305, Australia
| | - Veikko Salomaa
- National Institute for Health and Welfare, Helsinki 00271, Finland
| | - Mads Melbye
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen 2300, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen 2300, Denmark; Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Johan G Eriksson
- National Institute for Health and Welfare, Helsinki 00271, Finland; Folkhälsan Research Centre, Helsinki 00250, Finland; Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki 00014, Finland
| | - James F Wilson
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh EH16 4UX, UK; MRC Human Genetics Unit, Institute for Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh EH4 2XU, UK
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam Neuroscience and Amsterdam Public Health Research Institute, Amsterdam University Medical Center/GGZ inGeest Research & Innovation, Amsterdam 1081 HJ, the Netherlands
| | - Diane M Becker
- GeneSTAR Research Center, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Bradford B Worrall
- Departments of Neurology and Public Health Sciences, University of Virginia Charlottesville, Charlottesville, VA 22908-0394, USA
| | - Greg Gibson
- Center for Integrative Genomics, School of Biology, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Ronald M Krauss
- Children's Hospital Oakland Research Institute, Oakland, CA 94609, USA
| | - Marina Ciullo
- Institute of Genetics and Biophysics "A. Buzzati-Traverso," Consiglio Nazionale delle Ricerche, Napoli 80131, Italy; IRCCS Neuromed, Pozzilli (IS) 86077, Italy
| | - Gianluigi Zaza
- Renal Unit, Department of Medicine, Verona University Hospital, Verona 37126, Italy
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge CB2 0QQ, UK
| | - Albertine J Oldehinkel
- Interdisciplinary Center Psychopathology and Emotion regulation, University Medical Center Groningen, University of Groningen, Groningen 9700 RB, the Netherlands
| | - Lyle J Palmer
- School of Public Health, University of Adelaide, Adelaide, SA 5000, Australia
| | - Sarah S Murray
- Department of Pathology, University of California, San Diego, San Diego, CA 92121, USA
| | - Peter P Pramstaller
- Institute for Biomedicine, Eurac Research, Affiliated Institute of the University of Lübeck, Bolzano 39100, Italy; General Central Hospital, Department of Neurology, Bolzano 39100, Italy; Department of Neurology, University of Lübeck, Lübeck 23538, Germany
| | | | - Joachim Heinrich
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Centre for Environmental Health, Neuherberg 85764, Germany; Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Comprehensive Pneumology Center Munich, Member DZL, German Center for Lung Research, 81377 Munich, Germany
| | - Erik Ingelsson
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala 751 41, Sweden; Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA; Stanford Cardiovascular Institute, Stanford University, Stanford, CA 94305, USA
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK; Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Reedik Mägi
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | - Liesbeth Vandenput
- Department of Internal Medicine and Clinical Nutrition, University of Gothenburg, Gothenburg 41345, Sweden
| | - Pim van der Harst
- University of Groningen, University Medical Center Groningen, Department of Cardiology, Groningen 9713 AV, the Netherlands
| | - Karl C Desch
- Department of Pediatrics and Communicable Diseases, University of Michigan, Ann Arbor, MI 48109, USA
| | - Jaspal S Kooner
- Department of Cardiology, Ealing Hospital, Middlesex UB1 3HW, UK; Imperial College Healthcare NHS Trust, London W12 0HS, UK; MRC-PHE Centre for Environment and Health, Imperial College London, London W2 1PG, UK; National Heart and Lung Institute, Imperial College London, London W12 0NN, UK
| | - Claes Ohlsson
- Department of Internal Medicine and Clinical Nutrition, University of Gothenburg, Gothenburg 41345, Sweden
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute for Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh EH4 2XU, UK
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere 33014, Finland; Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Life Sciences, University of Tampere, Tampere 33520, Finland
| | - Alan R Shuldiner
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Donna K Arnett
- University of Kentucky, College of Public Health, Lexington, KY 40508, USA
| | - Lawrence J Beilin
- Medical School, University of Western Australia, Perth, WA 6009, Australia
| | - Antonietta Robino
- Institute for Maternal and Child Health, IRCCS "Burlo Garofolo," Trieste 34140, Italy
| | - Philippe Froguel
- Centre National de la Recherche Scientifique UMR 8199, University of Lille, Institut Pasteur de Lille, European Genomic Institute for Diabetes, FR 3508, 59000 Lille, France; Department of Genomics of Common Disease, School of Public Health, Imperial College London, London SW7 2AZ, UK
| | - Mario Pirastu
- Support OU, Institute of Genetic and Biomedic Research, Consiglio Nazionale delle Ricerche, Sassari 7100, Italy
| | - Tine Jess
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Frederiksberg 2200, Denmark
| | - Wolfgang Koenig
- German Center for Cardiovascular Research, Partner Site Munich Heart Alliance, 80636 Munich, Germany; Department of Internal Medicine II-Cardiology, University of Ulm Medical Center, 80801 Ulm, Germany; Deutsches Herzzentrum München, Technische Universität München, 80636 Munich, Germany
| | - Ruth J F Loos
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Genetics of Obesity and Related Metabolic Traits Program, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029-6542, USA
| | - Denis A Evans
- Department of Internal Medicine, Rush University Medical Center, Chicago, IL 60612, USA
| | - Helena Schmidt
- Department of Neurology, Medical University Graz, Graz 8010, Austria; Institute of Molecular Biology and Biochemistry, Centre for Molecular Medicine, Medical University of Graz, Graz 8010, Austria
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK
| | - P Eline Slagboom
- Molecular Epidemiology, Leiden University Medical Center, Leiden 2333 ZC, the Netherlands
| | | | - Andrew P Morris
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK; Department of Biostatistics, University of Liverpool, Liverpool L69 3GL, UK
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA; Department of Epidemiology, University of Washington, Seattle, WA 98101, USA; Department of Health Services, University of Washington, Seattle, WA 98195-7660, USA; Kaiser Permanente Washington Health Research Institute, Seattle, WA 98101, USA
| | - Russell P Tracy
- Department of Pathology, University of Vermont, Colchester, VT 05405, USA
| | - Ilja M Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands
| | - Eric Boerwinkle
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX 77030, USA; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | | | - Alex P Reiner
- Department of Epidemiology, University of Washington, Seattle, WA 98101, USA
| | - Myron Gross
- Department of Lab Medicine and Pathology, University of Minnesota, Minneapolis, MN 55455, USA
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
| | - Lude Franke
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands
| | - Oscar H Franco
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3000 CA, the Netherlands; Institute of Social and Preventive Medicine, University of Bern, 3012 Bern, Switzerland
| | - Emelia J Benjamin
- Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA; National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA 01702, USA
| | - Daniel I Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Josée Dupuis
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA 01702, USA; Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3000 CA, the Netherlands; Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment & Health, School of Public Health, Imperial College London, London W2 1PG, UK.
| | - Behrooz Z Alizadeh
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands.
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Goswami K, Gandhe M. Evolution of metabolic syndrome and its biomarkers. Diabetes Metab Syndr 2018; 12:1071-1074. [PMID: 30042080 DOI: 10.1016/j.dsx.2018.06.027] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Accepted: 06/29/2018] [Indexed: 12/16/2022]
Abstract
The evolution of human from ancient times to modern era has witnessed several environmental and social changes which contributed to genetic and epigenetic makeup of human beings and in turn is responsible for its present phenotype. In the recent past, owing to socioeconomic developmental pressure, a large epidemiologic shift towards non-communicable disease pattern has been noticed in many developing countries including India which resulted into incidence of diabetes and cardiovascular diseases in epidemic proportion. These two pathologies form a subset associated with metabolic derangement, popularly termed as metabolic syndrome. Earlier its status and the pathophysiological rationale were largely obscure and hence it was given a rather disguised name - Syndrome X, as an icon of unknown. While initially contemplated to be an endocrine problem associated with insulin resistance, the scientific insight about this pathology has undergone a gradual evolution. Therefore the pathogenic and consequent diagnostic modality consistently changed. Quite fascinatingly its phenomenal conversion from an endocrine etiopathology to an inflammatory pathogenesis has imprinted a paradigm shift. From laboratory medicine perspective, these evidences have immense impact to steer the research towards development of the apposite diagnostic modality for this very significant and nationally relevant health problem.
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Affiliation(s)
- Kalyan Goswami
- Department of Biochemistry, Mahatma Gandhi Institute of Medical Sciences, Sevagram, Wardha, Maharashtra, India.
| | - Mahendra Gandhe
- Department of Biochemistry Government Medical College, Chhindwara, Madhya Pradesh, India
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Hafez YM, El-Deeb OS, Atef MM. The emerging role of the epigenetic enzyme Sirtuin-1 and high mobility group Box 1 in patients with diabetic foot ulceration. Diabetes Metab Syndr 2018; 12:1065-1070. [PMID: 30168428 DOI: 10.1016/j.dsx.2018.06.026] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Accepted: 06/29/2018] [Indexed: 02/08/2023]
Abstract
BACKGROUND Diabetic foot ulceration (DFU) is a serious diabetic complication that can progress to amputation and since SIRT1 regulates glucose metabolism, inflammation, and oxidative stress which are the major contributors in diabetic complications, So we aimed to discuss its role as an epigenetic biomarker in DFU and highlight its link to oxidative stress and inflammatory cytokines. METHOD 60 DM patients were enrolled in the study, 30 without DFU and 30 with DFU in addition to 15 healthy subjects (control group). SIRT1 mRNA relative gene expression was assessed. Catalase activity, advanced glycation end products (AGEs), tumor necrosis factor alpha (TNFα), interleukin 6 (IL-6) and High mobility group box1 (HMGB1) levels were measured. DNA fragmentation was also performed. RESULT SIRT1 expression and catalase activity were significantly decreased in diabetic patients compared to control group with the lowest levels in DFU patients, TNFα, IL-6, HMGB 1 and AGEs levels were significantly higher in the diabetic patients compared to control group with the highest levels in DFU patients. DNA fragmentation was more profound in DFU patients. CONCLUSION The study revealed that SIRT1 mRNA expression can be considered as a novel biomarker in DFU being a major player involved in its pathogenesis.
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Affiliation(s)
- Yasser Mostafa Hafez
- Lecturer of Internal Medicine, Internal Medicine Department, Faculty of Medicine, Tanta University, El Geesh street, Tanta, Egypt
| | - Omnia Safwat El-Deeb
- Lecturers of Medical Biochemistry, Medical Biochemistry Department, Faculty of Medicine, Tanta University, El Geesh street, Tanta, Egypt
| | - Marwa Mohamed Atef
- Lecturers of Medical Biochemistry, Medical Biochemistry Department, Faculty of Medicine, Tanta University, El Geesh street, Tanta, Egypt.
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Positive Correlation of Serum N-Acetyl- β-hexosaminidase with Markers of Atherosclerosis in Diabetes Type 2 Patients with Mild Symptoms of Depression and Anxiety. DISEASE MARKERS 2018; 2018:1760592. [PMID: 30026880 PMCID: PMC6031159 DOI: 10.1155/2018/1760592] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/27/2018] [Accepted: 05/25/2018] [Indexed: 11/22/2022]
Abstract
Background Analysis of the correlation between diabetes type 2 (DT2) and serum N-acetyl-β-hexosaminidase (HEX) activity with parameters of fat metabolism and symptoms of anxiety and depression. Material and Method The study was performed using a random sample of 40 DT2 patients (22 women and 18 men) between the ages of 43 and 71 (median 59) and 40 control persons (28 women and 12 men) between the ages of 18 and 64 (median 46). The activity of HEX was determined by a colorimetric method. The activity of the serum exoglycosidase was expressed in pkat/mL. Each participant underwent Hamilton tests, to evaluate level of anxiety and depression. Additionally, the HEX activity and concentration of particular lipidograms were monitored using a blood sample from each participant. Results In DT2 patients, a significant positive correlation was found between serum HEX activity and the concentration of serum cholesterol LDL fractions, triacylglycerols (TAG), and Castelligro atherogenic indexes. A significantly increased level of anxiety and depression in comparison to the control group was found as well. Conclusion Serum HEX activity in DT2 patients is a better marker of atherosclerosis than serum total cholesterol level in persons with mild symptoms of depression and anxiety. In DT2 patients, a routine testing of anxiety and depression is recommended. Early detection of these disorders creates the possibility for treatment, an improvement in a patient's quality of life, and the overall longevity of DT2 patients.
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Rodrigues KF, Pietrani NT, Carvalho LML, Bosco AA, Sandrim VC, Ferreira CN, Gomes KB. Haptoglobin levels are influenced by Hp1-Hp2 polymorphism, obesity, inflammation, and hypertension in type 2 diabetes mellitus. ACTA ACUST UNITED AC 2018; 66:99-107. [PMID: 30528492 DOI: 10.1016/j.endinu.2018.07.008] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Revised: 07/13/2018] [Accepted: 07/23/2018] [Indexed: 01/08/2023]
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) is an inflammatory condition associated to obesity and increased oxidative stress. Haptoglobin (Hp) is an acute phase reactant that scavenges extracorpuscular hemoglobin from circulation and prevents heme-iron oxidative damage. OBJECTIVE To assess the association between Hp levels and Hp1-Hp2 gene polymorphism and clinical and laboratory parameters in patients with T2DM. METHODS The study sample consisted of 102 T2DM patients and 62 controls. Hp plasma levels were measured using an ELISA assay, and Hp genotyping was performed using a specific two-step allelic polymerase chain reaction. RESULTS Hp levels were higher in T2DM patients as compared to controls (p=0.005). T2DM patients with high blood pressure had higher Hp levels than patients without this comorbidity (p=0.021). Obese T2DM patients had higher Hp levels as compared to obese controls (p=0.009) and to non-obese T2DM patients (p=0.003). The Hp1-Hp1 genotype was showed to be associated to T2DM according to additive (OR=3.038, 95% CI 1.127-8.192; p=0.036) and dominant model (OR=0.320, 95% CI 0.118-0.839; p=0.010), but Hp2 allele carriers contributed with higher Hp levels in T2DM as compared to controls. Waist circumference (p=0.002), BMI (p=0.001), and IL-6 (p=0.012), and hs-CRP (p=0.001) levels positively correlated with Hp levels in the T2DM group. CONCLUSION These results suggest that Hp levels are influenced by Hp1-Hp2 polymorphism, obesity, inflammatory status, and high blood pressure in T2DM.
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Affiliation(s)
- Kathryna Fontana Rodrigues
- Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Nathalia Teixeira Pietrani
- Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Laura Machado Lara Carvalho
- Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Adriana Aparecida Bosco
- Instituto de Ensino e Pesquisa, Santa Casa de Belo Horizonte, Belo Horizonte, Minas Gerais, Brazil
| | - Valéria Cristina Sandrim
- Instituto de Biociências, Universidade Estadual Paulista Júlio de Mesquita Filho, Botucatu, São Paulo, Brazil
| | | | - Karina Braga Gomes
- Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil; Faculdade de Farmácia, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
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Influence of weight loss on pulmonary function and levels of adipokines among asthmatic individuals with obesity: One-year follow-up. Respir Med 2018; 145:48-56. [PMID: 30509716 DOI: 10.1016/j.rmed.2018.10.017] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2018] [Revised: 10/16/2018] [Accepted: 10/18/2018] [Indexed: 12/27/2022]
Abstract
BACKGROUND Individuals with obesity are more likely to develop asthma, but the exact mechanism is still uncertain and several hypotheses have been raised, such as the release of inflammatory mediators secreted by adipose tissue. OBJECTIVE To assess the effects of weight loss in patients submitted to bariatric surgery on pulmonary and systemic inflammation. METHOD The study evaluated patients undergoing bariatric surgery (Roux-en-Y gastric bypass) with the diagnosis of asthma, except smokers. The patients were evaluated at the time of entry into a preoperative weight loss group (T1), just before bariatric surgery (T2), six months after surgery (T3), and 12 months after surgery (T4). The following were measured: anthropometric data, dosage of systemic inflammatory markers by means of blood collection, pulmonary inflammatory markers obtained by induced sputum collection, pulmonary function parameters, and asthma activity assessed by a Asthma Control Test (ACT) questionnaire. RESULTS Nineteen patients participated in the study. There were significant reductions in the systemic levels of interleukin (IL)-8 (p = 0.002), C-reactive protein (CRP) (p = 0.003), leptin (p = 0.001) and tumor necrosis factor (TNF)-α (p = 0.007), and significant increase in the systemic levels of IL-6 (p = 0.004) over time and adiponectin in T2 (p = 0.025). In regards to pulmonary inflammation, there were significant reductions in the sputum levels of TNF-α (p < 0.001). There was no significant improvement of the pulmonary function parameters (p > 0.05) and significant improvement in asthma activity scores (p < 0.0001). CONCLUSION Weight loss was associated with significant changes in the systemic and pulmonary inflammatory profiles of individuals with asthma, leading to a better asthma control as a result of an increase in some anti-inflammatory mediators and a reduction of pro-inflammatory mediators.
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Nikniaz L, Nikniaz Z, Shivappa N, Hébert JR. The association between dietary inflammatory index and metabolic syndrome components in Iranian adults. Prim Care Diabetes 2018; 12:467-472. [PMID: 30077504 DOI: 10.1016/j.pcd.2018.07.008] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Revised: 07/01/2018] [Accepted: 07/08/2018] [Indexed: 02/02/2023]
Abstract
AIMS Investigating the association between the dietary inflammatory index (DII®) and metabolic syndrome (MetS) components and liver enzymes in Iranian population. METHODS The present cross-sectional study consist of 606 participants from East-Azarbaijan-Iran. The MetS status was determined using ATPIII NCEP criteria. Moreover, liver enzymes including alanine aminotransferase and aspartate aminotransferase were measured. The DII was calculated according to Shivappa et al. method using a validated quantitative FFQ. Logistic regression was used to determine the association between DII and MetS. RESULTS About 34.3% of the participants had metabolic syndrome. Higher DII score was significantly associated with MetS [OR: 2.26 (95% CI: 1.03, 4.92)] after adjusting for covariates. After adjustment, participants in the highest quartile of DII score had significantly higher FBG [OR: 2.56 (95% CI: 1.00, 7.05)] compared with the participants in the lowest quartile of DII score. No other significant association was observed between DII and liver enzymes level and other MetS components (P>0.05). CONCLUSIONS The results showed that the DII score was associated with overall MetS and FBG, after adjusting for all covariates. For precise conclusion there is a need for longitudinal studies with larger sample size and considering more food parameters.
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Affiliation(s)
- Leila Nikniaz
- Tabriz Health Services Management Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Zeinab Nikniaz
- Liver and Gastrointestinal Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
| | - Nitin Shivappa
- Cancer Prevention and Control Program, University of South Carolina, Columbia, SC 29208, USA; Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA; Connecting Health Innovations LLC, Columbia, SC 29201, USA
| | - James R Hébert
- Cancer Prevention and Control Program, University of South Carolina, Columbia, SC 29208, USA; Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA; Connecting Health Innovations LLC, Columbia, SC 29201, USA
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Dendritic cell maturation in the corneal epithelium with onset of type 2 diabetes is associated with tumor necrosis factor receptor superfamily member 9. Sci Rep 2018; 8:14248. [PMID: 30250206 PMCID: PMC6155153 DOI: 10.1038/s41598-018-32410-5] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2018] [Accepted: 09/03/2018] [Indexed: 12/29/2022] Open
Abstract
Type 2 diabetes mellitus is characterized by a low-grade inflammation; however, mechanisms leading to this inflammation in specific tissues are not well understood. The eye can be affected by diabetes; thus, we hypothesized that inflammatory changes in the eye may parallel the inflammation that develops with diabetes. Here, we developed a non-invasive means to monitor the status of inflammatory dendritic cell (DC) subsets in the corneal epithelium as a potential biomarker for the onset of inflammation in type 2 diabetes. In an age-matched cohort of 81 individuals with normal and impaired glucose tolerance and type 2 diabetes, DCs were quantified from wide-area maps of the corneal epithelial sub-basal plexus, obtained using clinical in vivo confocal microscopy (IVCM). With the onset of diabetes, the proportion of mature, antigen-presenting DCs increased and became organized in clusters. Out of 92 plasma proteins analysed in the cohort, tumor necrosis factor receptor super family member 9 (TNFRSF9) was associated with the observed maturation of DCs from an immature to mature antigen-presenting phenotype. A low-grade ocular surface inflammation observed in this study, where resident immature dendritic cells are transformed into mature antigen-presenting cells in the corneal epithelium, is a process putatively associated with TNFRSF9 signalling and may occur early in the development of type 2 diabetes. IVCM enables this process to be monitored non-invasively in the eye.
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Arampatzioglou A, Papazoglou D, Konstantinidis T, Chrysanthopoulou A, Mitsios A, Angelidou I, Maroulakou I, Ritis K, Skendros P. Clarithromycin Enhances the Antibacterial Activity and Wound Healing Capacity in Type 2 Diabetes Mellitus by Increasing LL-37 Load on Neutrophil Extracellular Traps. Front Immunol 2018; 9:2064. [PMID: 30250474 PMCID: PMC6139320 DOI: 10.3389/fimmu.2018.02064] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2018] [Accepted: 08/21/2018] [Indexed: 12/17/2022] Open
Abstract
Background: Type 2 diabetes mellitus (T2D) is characterized by susceptibility to bacterial infections and impaired wound healing. Neutrophil extracellular traps (NETs) and the cathelicidin antimicrobial peptide LL-37 have been implicated both in defense against bacterial infections and in wound healing process. Recently, it was shown that macrolide antibiotic clarithromycin induces the release of LL-37-bearing NETs. In T2D there has not been identified any link between NETs and LL-37 and the effect of clarithromycin in neutrophils/NETs is unknown yet. Methods: Peripheral blood neutrophils were obtained from treatment-naive hyperglycemic T2D patients (naive), normoglycemic T2D patients under antidiabetic treatment (well-controlled) and healthy donors (controls). NET release and NET proteins were studied. Co-culture systems of NET structures with E. coli NCTC 9001 and primary skin fibroblasts were deployed to examine the in vitro antibacterial and fibrotic NET properties, respectively. The effect of clarithromycin was also investigated. Analysis was performed using immunofluorescence confocal microscopy, myeloperoxidase-DNA complex and LL-37 ELISA, immunoblotting and qRT-PCR. Results: NETs were characterized by the presence of LL-37, however they lacked antibacterial activity, in both groups of T2D patients. Clarithromycin significantly increased the externalization of LL-37 on NETs generated from well-controlled T2D neutrophils, thus restoring NET antibacterial capacity and promoting the wound healing process via fibroblast activation and differentiation. Conclusion: This study suggests that clarithromycin may add further advantage to well-controlled T2D patients, by enhancing their antibacterial defense and improving wound healing capacity of fibroblasts, through upregulation of LL-37 on NET structures.
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Affiliation(s)
| | - Dimitrios Papazoglou
- Diabetes Clinic, Second Department of Internal Medicine, University Hospital of Alexandroupolis, Alexandroupolis, Greece
| | | | - Akrivi Chrysanthopoulou
- Laboratory of Molecular Hematology, Democritus University of Thrace, Alexandroupolis, Greece
| | - Alexandros Mitsios
- Laboratory of Molecular Hematology, Democritus University of Thrace, Alexandroupolis, Greece
| | - Iliana Angelidou
- Laboratory of Molecular Hematology, Democritus University of Thrace, Alexandroupolis, Greece
| | - Ioanna Maroulakou
- Laboratory of Cancer Genetics, Department of Molecular Biology and Genetics, Democritus University of Thrace, Alexandroupolis, Greece
| | - Konstantinos Ritis
- Laboratory of Molecular Hematology, Democritus University of Thrace, Alexandroupolis, Greece.,First Department of Internal Medicine, University Hospital of Alexandroupolis, Alexandroupolis, Greece
| | - Panagiotis Skendros
- Laboratory of Molecular Hematology, Democritus University of Thrace, Alexandroupolis, Greece.,First Department of Internal Medicine, University Hospital of Alexandroupolis, Alexandroupolis, Greece
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Fathy SA, Mohamed MR, Ali MAM, El-Helaly AE, Alattar AT. Influence of IL-6, IL-10, IFN-γ and TNF-α genetic variants on susceptibility to diabetic kidney disease in type 2 diabetes mellitus patients. Biomarkers 2018; 24:43-55. [PMID: 30015512 DOI: 10.1080/1354750x.2018.1501761] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
BACKGROUND Data from previous studies on the role of inflammatory cytokines as biomarkers for diabetic kidney disease (DKD) are contradictory. The association of a particular inflammatory cytokine single nucleotide polymorphism (SNP) with susceptibility to DKD has not been consistently replicated. We aimed to investigate the utility of inflammatory cytokines as biomarkers for DKD in type 2 diabetes mellitus (T2DM) patients. Association of inflammatory cytokine gene SNPs with the development of DKD was also explored. SUBJECTS AND METHODS One hundred and fifty-nine Kuwaiti subjects were recruited in this study, including 50 T2DM patients without DKD, 67 diabetic DKD patients and 42 healthy subjects. Plasma levels of interleukin-6 (IL-6), IL-10, interferon gamma (IFN-γ) and tumor necrosis factor alpha (TNF-α) were measured by enzyme-linked immunosorbent assays. Nine SNPs, including 2 SNPs in IL-6, 3 SNPs in IL-10, 1 SNP in IFN-γ and 3 SNPs in TNF-α, were genotyped using TaqMan SNP genotyping assays. RESULTS Diabetic DKD patients showed higher IL-6, IL-10, IFN-γ and TNF-α levels than those without DKD. Diabetic DKD patients had a significantly higher frequency of IL-10 - 1082 A allele than those without DKD (p = 0.001). No significant association of IL-6 - 174/-597 haplotypes with DKD risk was detected (p = 0.188). Distribution of IL-10 - 592/-819/-1082 haplotypes differ significantly between T2DM patients with/without DKD (p = 0.014). Diabetic DKD patients had a significantly lower frequency of IL-10 - 592C/-819C/-1082G haplotype than those without DKD (p = 0.002). CONCLUSIONS Although inflammatory cytokine genotypes and, more importantly, haplotypes may have the potential to identify those patients at risk of DKD, hence, improving DKD predisposition prediction, further investigations regarding their real clinical significance is warranted in a large cohort of patients.
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Affiliation(s)
- Shadia A Fathy
- a Department of Biochemistry, Faculty of Science , Ain Shams University , Cairo , Egypt
| | - Mohamed R Mohamed
- a Department of Biochemistry, Faculty of Science , Ain Shams University , Cairo , Egypt
| | - Mohamed A M Ali
- a Department of Biochemistry, Faculty of Science , Ain Shams University , Cairo , Egypt
| | - Ashraf E El-Helaly
- b Medical Laboratories Department , Amiri Hospital , Kuwait city , Kuwait
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Cha SH, Hwang Y, Kim KN, Jun HS. Palmitate induces nitric oxide production and inflammatory cytokine expression in zebrafish. FISH & SHELLFISH IMMUNOLOGY 2018; 79:163-167. [PMID: 29772372 DOI: 10.1016/j.fsi.2018.05.025] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2018] [Revised: 04/27/2018] [Accepted: 05/13/2018] [Indexed: 06/08/2023]
Abstract
Inflammation markers in zebrafish embryos reflect a toxic response that is common to other animal models and humans. Free fatty acids (FFAs) are known to cause damage in various tissues by inducing inflammation. In this study, we investigated whether a FFA (palmitate) induces inflammation in zebrafish embryos. Nitrous oxide (NO) production and cyclooxygenase-2 (COX-2) mRNA expression were increased in palmitate-treated zebrafish embryos in a dose-dependent manner. mRNA expression of pro-inflammatory cytokines, interleukin-1β (IL-1β) and tumor necrosis factor-α (TNF- α), were also increased. Additionally, the mRNA expression of p65 nuclear factor-kB and I-kB-α were significantly increased after palmitate-treatment. Increased reactive oxygen species (ROS) expression was observed in palmitate-treated zebrafish embryos as well as pericardial edema. Additionally, mRNA expression of pro-inflammatory cytokines were increased in zebrafish liver and pancreas fed with palmitate-contained diet. Taken together, these results indicated that palmitate increases pro-inflammatory mediators in zebrafish embryos, suggesting that zebrafish could be an alternative animal model for inflammatory disease including diabetes.
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Affiliation(s)
- Seon-Heui Cha
- College of Pharmacy, Gachon University, Incheon 21936, Republic of Korea; Lee Gil Ya Cancer and Diabetes Institute, Gachon University, Incheon 21936, Republic of Korea; Gachon Medical and Convergence Institute, Gachon Gil Medical Center, Incheon 21565, Republic of Korea
| | - Yongha Hwang
- College of Pharmacy, Gachon University, Incheon 21936, Republic of Korea; Lee Gil Ya Cancer and Diabetes Institute, Gachon University, Incheon 21936, Republic of Korea
| | - Kil-Nam Kim
- Chuncheon Center, Korea Basic Science Institute (KBSI), Chuncheon 24341, Republic of Korea
| | - Hee-Sook Jun
- College of Pharmacy, Gachon University, Incheon 21936, Republic of Korea; Lee Gil Ya Cancer and Diabetes Institute, Gachon University, Incheon 21936, Republic of Korea; Gachon Medical and Convergence Institute, Gachon Gil Medical Center, Incheon 21565, Republic of Korea.
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Ermiş Karaali Z, Candan G, Aktuğlu MB, Velet M, Ergen A. Toll-Like Receptor 2 (TLR-2) Gene Polymorphisms in Type 2 Diabetes Mellitus. CELL JOURNAL 2018; 20:559-563. [PMID: 30124003 PMCID: PMC6099132 DOI: 10.22074/cellj.2019.5540] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/25/2017] [Accepted: 12/13/2017] [Indexed: 12/27/2022]
Abstract
Objective Innate immunity factors are associated with type 2 diabetes (T2DM) and its complications. Therefore, T2DM has
been suggested to be an immune-dependent disease. Elevated fasting glucose level and higher concentrations of innate
immunity soluble molecules are not only related with insulin resistance, but inflammation is also an important factor in beta
cell dysfunction in T2DM. Toll-like receptor 2 (TLR-2), which has an important role in inducing innate immune cells, is thought
to have suppressive roles on immune responses in T2DM. We therefore aimed to investigate the possible role of TLR-2 del
-196-174 and Arg753Gln variants in T2DM pathogenesis.
Materials and Methods This study was designed as a case-control study. Polymerase chain reaction-restriction fragment
length polymorphism (PCR-RFLP) technique was used to genotype the two variants in 100 T2DM patients and 98 age-
matched controls.
Results We found significantly higher frequencies of TLR-2 del -196-174 DD genotype (P=0.003), ID genotype
(P=0.009) and D allele (P=0.001) in patients compared with controls. In addition, the II genotype (P=0.001) and the I
allele (P=0.003) frequencies were elevated in healthy controls. We did not find any significant differences in frequency
distribution for the Arg753Gln variant in study groups.
Conclusion We suggest that carrying the D allele of the TLR-2 del -196-174 variant may be related as a risk factor for T2DM.
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Affiliation(s)
- Zeynep Ermiş Karaali
- Department of Internal Medicine, Haseki Training and Research Hospital, University of Health Sciences, Istanbul, Turkey
| | - Gonca Candan
- Department of Molecular Medicine, Aziz Sancar Institute of Experimental Medicine, Istanbul University, Istanbul, Turkey
| | - Mehmet Burak Aktuğlu
- Department of Internal Medicine, Haseki Training and Research Hospital, University of Health Sciences, Istanbul, Turkey
| | - Mustafa Velet
- Department of Internal Medicine, Haseki Training and Research Hospital, University of Health Sciences, Istanbul, Turkey
| | - Arzu Ergen
- Department of Molecular Medicine, Aziz Sancar Institute of Experimental Medicine, Istanbul University, Istanbul, Turkey. Electronic Address:
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Margaryan S, Witkowicz A, Arakelyan A, Partyka A, Karabon L, Manukyan G. sFasL-mediated induction of neutrophil activation in patients with type 2 diabetes mellitus. PLoS One 2018; 13:e0201087. [PMID: 30024959 PMCID: PMC6053218 DOI: 10.1371/journal.pone.0201087] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2018] [Accepted: 07/09/2018] [Indexed: 12/13/2022] Open
Abstract
Fas/Fas ligand system was shown to be related to insulin resistance and type 2 diabetes mellitus (T2DM). However, the role of soluble Fas ligand (sFasL) in functioning of immune cells in type 2 diabetes mellitus (T2DM) has not been studied yet. The aim of the present study was to determine in vitro effects of sFasL on neutrophil activation and apoptosis. We demonstrate here that sFasL exhibited proinflammatory effect and induced mRNA levels of caspase-1, NF-κB, IL-1β and CD18 expression. At the same time, sFasL induced reactive oxygen species (ROS) production. Activation of caspase-1 activity abolished sFasL-dependent apoptosis, and suppressed Fas expression and mRNA levels of caspase-3 in neutrophils from T2DM patients. Collectively, our findings identify a novel proinflammatory role of sFasL in T2DM neutrophils that is dependent of caspase activity. Thus, sFasL enhances inflammatory response of neutrophils from T2DM patients without increasing apoptosis suggesting its triggering role in T2DM inflammation.
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Affiliation(s)
- Sona Margaryan
- Russian-Armenian University, Yerevan, Armenia
- Laboratory of Molecular and Cellular Immunology, Institute of Molecular Biology, Yerevan, Armenia
| | - Agata Witkowicz
- Department of Experimental Therapy, L. Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wroclaw, Poland
| | - Arsen Arakelyan
- Russian-Armenian University, Yerevan, Armenia
- Bioinformatics Group, Institute of Molecular Biology, Yerevan, Armenia
| | - Anna Partyka
- Department of Experimental Therapy, L. Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wroclaw, Poland
| | - Lidia Karabon
- Department of Experimental Therapy, L. Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wroclaw, Poland
| | - Gayane Manukyan
- Russian-Armenian University, Yerevan, Armenia
- Laboratory of Molecular and Cellular Immunology, Institute of Molecular Biology, Yerevan, Armenia
- * E-mail: ,
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Moeez S, Riaz S, Masood N, Kanwal N, Arif MA, Niazi R, Khalid S. Evaluation of the rs3088442 G>A SLC22A3 Gene Polymorphism and the Role of microRNA 147 in Groups of Adult Pakistani Populations With Type 2 Diabetes in Response to Metformin. Can J Diabetes 2018; 43:128-135.e3. [PMID: 30297296 DOI: 10.1016/j.jcjd.2018.07.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2017] [Revised: 07/03/2018] [Accepted: 07/09/2018] [Indexed: 10/28/2022]
Abstract
OBJECTIVES Type 2 diabetes is a complex genetic disorder, and a large number of genetic polymorphisms may be involved in its pathogenesis. Pharmacologically, type 2 diabetes can be treated with 9 different approved classes of drugs, but metformin is suggested as the first line of therapy, followed by sulfonylureas. METHODS This was a case-control study consisting of 300 metformin responders and 300 metformin nonresponders in patients with type 2 diabetes and 300 healthy Pakistani subjects. Genotyping of the SLC22A3 G>A polymorphism was performed by allele-specific polymerase chain reaction (PCR) for microRNA 147 expression; real-time polymerase chain reaction was used, and expressional analysis of SLC22A3 was done by semiquantitative polymerase chain reaction. RESULTS GA and AA genotypes were highly significantly associated with the drug treatments when compared with controls. A statistically significant difference was observed in the distribution of the SLC22A3 A allele between healthy subjects and patients with type 2 diabetes. When odds ratios were adjusted for glycated hemoglobin levels and postprandial and fasting blood glucose levels, our findings showed that the overexpression of allele A of the rs3088442 G>A variant may act as a protective allele and is associated with the clinical response to metformin. microRNA 147 expression was found to be increased in patients who were metformin responders compared with the nonresponder group and controls. mRNA expression of SLC22A3 was significantly reduced in patients taking metformin as compared to other groups. CONCLUSIONS These results suggested that the SLC22A3 rs3088442 at position 2282 A allele may confer metformin clinical responses in patients with type 2 diabetes in the Pakistani population. Overexpression of microRNA 147 is associated with a downward expression of the SLC22A3 gene in patients who have type 2 diabetes.
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Affiliation(s)
- Sadaf Moeez
- Department of Bioinformatics & Biotechnology, International Islamic University, H-10, Islamabad, Pakistan
| | - SyedaKiran Riaz
- Department of Biosciences, COMSATS Institute of Information Technology, Park Road, Islamabad, Pakistan
| | - Nosheen Masood
- Department of Environmental Sciences/Biotechnology, Fatima Jinnah Women University, The Mall, Rawalpindi, Pakistan
| | - Naghmana Kanwal
- Department of Health Care Biotechnology, Atta-ur-Rahman School of Applied Biosciences, National University of Sciences and Technology, H-12, Islamabad, Pakistan
| | - Mohammad Ali Arif
- Department of Medicine, Pakistan Institute of Medical Sciences, ShaheedZulfiqar Ali Bhutto Medical University, Islamabad, Pakistan
| | - Rauf Niazi
- Department of Medicine, Pakistan Institute of Medical Sciences, ShaheedZulfiqar Ali Bhutto Medical University, Islamabad, Pakistan
| | - Sumbul Khalid
- Department of Bioinformatics & Biotechnology, International Islamic University, H-10, Islamabad, Pakistan.
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Jeon EJ. Diabetes and depression. Yeungnam Univ J Med 2018; 35:27-35. [PMID: 31620567 PMCID: PMC6784677 DOI: 10.12701/yujm.2018.35.1.27] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2018] [Revised: 06/07/2018] [Accepted: 06/08/2018] [Indexed: 02/06/2023] Open
Abstract
Diabetes and depression are serious chronic conditions. As a result of their increasing prevalence, diabetes and depression, together with population growth and aging, are public health issues. The rate of depression in adults with either type 1 diabetes or type 2 diabetes is high relative to the general population. The coexistence of diabetes and depression has attracted much interest. Although it is unclear whether diabetes and depression are causally linked, most studies have shown that the association between diabetes and depression might be bidirectional. Currently, emotional well-being is becoming an increasingly important aspect of diabetes care and self-management. Psychiatric disorders and diabetic distress among people with diabetes may increase the risk of diabetes complication and mortality. Thus, assessment and appropriate management of depression in people with diabetes should be considered to achieve psychological well-being and optimize medical outcomes.
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Affiliation(s)
- Eon-Ju Jeon
- Department of Internal Medicine, Catholic University of Daegu, School of Medicine, Daegu, Korea
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246
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Di Folco U, Pollakova D, De Falco D, Nardone MR, Tubili F, Tubili C. Effects of a nutraceutical multicompound including bergamot (Citrus Bergamia Risso) juice on metabolic syndrome: A pilot study. MEDITERRANEAN JOURNAL OF NUTRITION AND METABOLISM 2018. [DOI: 10.3233/mnm-17186] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND: The role of lipid-lowering and hypoglycemic nutraceuticals in cardiovascular disease prevention is the focus in recent years. The most studied compounds and plants are sterols, soy, red fermented rice, policosanols, artichoke, berberine. Epidemiological and experimental evidences suggest that dietary polyphenols, especially flavonoids, might play a role in preventing atherosclerosis, owing to their pleiotropic metabolic, anti-inflammatory and antioxidant effects. Recent studies have shown that bergamot juice and albedo (Citrus Bergamia Risso et Poiteau), an endemic plant growing in a limited part of the Ionian coast of Calabria (Italy) has a unique content of flavonoids and glycosides, such as neoeriocytrine, neoesperidine, naringenine, routine, neodesmine, polyphenol and poncirine. OBJECTIVE: The aim of this study was to investigate the effects of a phytocomplex from bergamot fruit (EP3116520A1) as dietary supplement to a Mediterranean diet on body weight, body mass index (BMI), waist circumference, plasmatic lipid fractions, glucose and C – reactive protein (CRP) in subjects with the metabolic syndrome (MetS; according to NCEP-ATP III criteria) without pharmacological treatment, exept for basic treatment. METHODS: 80 overweight adults (54% females, 46% males) with the diagnosis of Metabolic Syndrome (MetS), aged 45 ± 5 years, were enrolled and randomized to 2 groups: group A) followed a personalized low calorie Mediterranean diet (control group) and group B) enriched the same diet therapy with 1 tablet of a phytocomplex from bergamot fruit per day for 6 months (intervention group). RESULTS: After 6 months patients in the intervention group showed a significant reduction of total cholesterol (–15% ), LDL-Cholesterol (–22% ), triglycerides (–23% ), blood glucose (–15% ), CRP (–40% ) and a significant increase in the HDL-Cholesterol (+ 14% ) levels compared to the control group (diet alone) where the changes were not significant, with not much significance in reduced body weight. CONCLUSION: Our findings suggest that bergamot supplementation improves significantly all aspects of metabolic profile in patients with MetS and is superior to diet alone.
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Affiliation(s)
- Ugo Di Folco
- Diabetes Unit, “S. Camillo-Forlanini” Hospital, Rome, Italy
| | | | | | | | - Flavia Tubili
- “A. Meyer” Children’s Hospital, University of Florence, Italy
| | - Claudio Tubili
- Diabetes Unit, “S. Camillo-Forlanini” Hospital, Rome, Italy
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247
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Kang J, Lee CN, Li HY, Hsu KH, Wang SH, Lin SY. Association of Interleukin-10 Methylation Levels With Gestational Diabetes in a Taiwanese Population. Front Genet 2018; 9:222. [PMID: 29988451 PMCID: PMC6024195 DOI: 10.3389/fgene.2018.00222] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Accepted: 06/04/2018] [Indexed: 11/13/2022] Open
Abstract
Objective: Gestational diabetes mellitus (GDM) is defined as glucose intolerance with onset during pregnancy, which is also associated with future metabolic diseases in both patients and their offspring. The mechanisms underlying this condition remain largely unknown and may be partly related to epigenetics. The aim of this study was to compare the methylation levels of the cytokine interleukin-10 (IL-10) in pregnant women and their fetuses under both hyperglycemic and euglycemic environments, as those levels may be a clue to the epigenetic mechanisms underlying pathogenesis of GDM. Methods: We analyzed the methylation levels of the IL-10 gene in maternal blood, cord blood, and placental tissue in both a GDM group (n = 8) and a control group (n = 24) using a LightCycler LC480 (Roche, Rotkreuz, Switzerland). IL-10 concentrations in maternal blood and THP-1 cells were measured by enzyme-linked immunosorbent assay (ELISA) using BD OptEIA Human IL-10 ELISA kits (BD Biosciences Pharmingen, San Diego, CA, United States). Results: The maternal blood IL-10 methylation levels in the GDM group and the control group were 0.23 ± 0.04 and 0.26 ± 0.04, respectively (p = 0.03), but there were no significant differences between the levels of the two groups in the cord blood or placental tissue. Increased IL-10 plasma concentrations were discovered under hyperglycemic environments and were confirmed via the THP-1 cell line. Conclusion: Hypomethylation of maternal blood and increased plasma IL-10 concentrations before birth were found in the GDM group.
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Affiliation(s)
- Jessica Kang
- Department of Obstetrics and Gynecology, National Taiwan University Hospital, Taipei, Taiwan
| | - Chien-Nan Lee
- Department of Obstetrics and Gynecology, National Taiwan University Hospital, Taipei, Taiwan
| | - Hung-Yuan Li
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Kai-Han Hsu
- Institute of Molecular Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Shu-Huei Wang
- Department of Anatomy and Cell Biology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Shin-Yu Lin
- Department of Obstetrics and Gynecology, National Taiwan University Hospital, Taipei, Taiwan
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248
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Richter J, Závorková M, Vetvicka V, Liehneová I, Kral V, Rajnohova Dobiasova L. Effects of β-glucan and Vitamin D Supplementation on Inflammatory Parameters in Patients with Diabetic Retinopathy. J Diet Suppl 2018; 16:369-378. [PMID: 29920123 DOI: 10.1080/19390211.2018.1458769] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
The objective of this article is to evaluate the potential effects of beta-glucan and vitamin D supplementation in patients with diabetic retinopathy. We evaluated the levels of several parameters of inflammatory reactions (C-reactive protein [CRP], serum amyloid A [SAA], and interleukin- [IL-] 6), leptin, and vitamin D. Using a 3-month interval, we divided the patients into three groups: (1) supplemented with beta-glucan and vitamin D, (2) supplemented with vitamin D and placebo, and (3) supplemented with vitamin D alone. By this division, we aim not only to observe whether beta-glucan can increase the effects of vitamin D, but also to eliminate the potential effects of placebo. The doses of vitamin D corresponded to phototype, weight, age, and sex of the individual. Fifty-two diabetic retinopathy patients were selected for our study. We found significant vitamin D deficits in all cases, even after three months of supplementation with vitamin D. Significant changes in levels of CRP were observed in the beta-glucan-supplemented group; levels of SAA and IL-6 were not changed. Leptin levels were significantly lowered in the beta-glucan-supplemented group and increased in the other groups. More detailed studies and/or longer supplementation is necessary.
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Affiliation(s)
- Josef Richter
- a Institute of Health, located in Ústí nad Labem , Usti nad Labem , Czech Republic
| | - Martina Závorková
- b Eye Clinic UJEP Masaryk Hospital, Krajská zdravotní , a.s., Usti nad Labem , Czech Republic
| | - Vaclav Vetvicka
- c University of Louisville , Department of Pathology , Louisville , KY , USA
| | - Ivana Liehneová
- b Eye Clinic UJEP Masaryk Hospital, Krajská zdravotní , a.s., Usti nad Labem , Czech Republic
| | - Vlastimil Kral
- a Institute of Health, located in Ústí nad Labem , Usti nad Labem , Czech Republic
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249
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Brandt SL, Putnam NE, Cassat JE, Serezani CH. Innate Immunity to Staphylococcus aureus: Evolving Paradigms in Soft Tissue and Invasive Infections. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2018; 200:3871-3880. [PMID: 29866769 PMCID: PMC6028009 DOI: 10.4049/jimmunol.1701574] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2017] [Accepted: 03/12/2018] [Indexed: 01/18/2023]
Abstract
Staphylococcus aureus causes a wide range of diseases that together embody a significant public health burden. Aided by metabolic flexibility and a large virulence repertoire, S. aureus has the remarkable ability to hematogenously disseminate and infect various tissues, including skin, lung, heart, and bone, among others. The hallmark lesions of invasive staphylococcal infections, abscesses, simultaneously denote the powerful innate immune responses to tissue invasion as well as the ability of staphylococci to persist within these lesions. In this article, we review the innate immune responses to S. aureus during infection of skin and bone, which serve as paradigms for soft tissue and bone disease, respectively.
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Affiliation(s)
- Stephanie L Brandt
- Division of Infectious Disease, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232
- Department of Microbiology and Immunology, Indiana University School of Medicine, Indianapolis, IN 46202
| | - Nicole E Putnam
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN 37232
| | - James E Cassat
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN 37232;
- Division of Infectious Diseases, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN 37232
- Vanderbilt Center for Bone Biology, Vanderbilt University Medical Center, Nashville, TN 37232; and
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37232
| | - C Henrique Serezani
- Division of Infectious Disease, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232;
- Department of Microbiology and Immunology, Indiana University School of Medicine, Indianapolis, IN 46202
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN 37232
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250
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Indumathi D, Sujithra K, Srinivasan S, Vinothkumar V. RETRACTED ARTICLE: Betanin exhibits significant potential as an antihyperglycemic and attenuating the glycoprotein components in streptozotocin–nicotinamide-induced experimental rats. Toxicol Mech Methods 2018; 28:547-554. [DOI: 10.1080/15376516.2018.1471636] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Affiliation(s)
- Dhananjayan Indumathi
- Department of Biochemistry and Biotechnology, Faculty of Science, Annamalai University, Annamalainagar, India
| | - Kathiroli Sujithra
- Department of Biochemistry and Biotechnology, Faculty of Science, Annamalai University, Annamalainagar, India
| | - Subramani Srinivasan
- Department of Biochemistry and Biotechnology, Faculty of Science, Annamalai University, Annamalainagar, India
- Postgraduate and Research Department of Biochemistry, Government Arts College For Women, Krishnagiri, India
| | - Veerasamy Vinothkumar
- Department of Biochemistry and Biotechnology, Faculty of Science, Annamalai University, Annamalainagar, India
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