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Delgado-León TG, Sálas-Pacheco JM, Vazquez-Alaniz F, Vértiz-Hernández ÁA, López-Guzmán OD, Lozano-Guzmán E, Martínez-Romero A, Úrtiz-Estrada N, Cervantes-Flores M. Apoptosis in pancreatic β-cells is induced by arsenic and atorvastatin in Wistar rats with diabetes mellitus type 2. J Trace Elem Med Biol 2018; 46:144-149. [PMID: 29413104 DOI: 10.1016/j.jtemb.2017.12.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2017] [Revised: 11/21/2017] [Accepted: 12/21/2017] [Indexed: 02/06/2023]
Abstract
INTRODUCTION Diabetes Mellitus type 2 (T2D) is a multifactorial disease. However, it is known that there is an important effect in pancreatic β-cells caused by apoptosis of pro-apoptotic proteins, possibly related to arsenic exposure and atorvastatin treatment. OBJECTIVE The goal of this study was to evaluate the effects of atorvastatin treatment on apoptosis of pancreatic β-cells in Wistar rats with induced diabetes type 2 exposed to arsenic. MATERIAL & METHODS T2D in Wistar rats was induced by administration of Streptozotocin. The plasmatic glucose concentrations were measured using the glucose oxidase method, and the concentration of glycated hemoglobin (HbA1c) in whole blood was determined. Exposure to arsenic was measured from urine using atomic absorption with hydride generation, and pro-apoptotic proteins in pancreatic β-cells were observed using the Western blotting technique. RESULTS Caspase-3 was present in rats that were treated with 10 mg/kg of oral atorvastatin and exposed to 0.01 and 0.025 mg/L of arsenic, but no others proteins were present, such as pro Caspase-8, bcl-2, and Fas. The glycemic levels were 129.2 ± 7.0 mg/dL in the control group and 161.8 ± 14.6 mg/dL and 198.3 ± 18.2 mg/dL (p < .05) in the study groups. HbA1c increased from 2.53% to 3.64% (p < .05) in the control and study groups. CONCLUSIONS Atorvastatin treatment and arsenic exposure alone are capable of generating apoptosis in pancreatic β-cells of Wistar rats with T2D. Together, all of these factors induce apoptosis in pancreatic cells.
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Affiliation(s)
- Tania Guadalupe Delgado-León
- Facultad de Ciencias Químicas, Universidad Juárez del Estado de Durango, Durango, Dgo., México AV. Veterinaria s/n Circuito Universitario, C.P. 34120 Durango, Dgo, Mexico
| | - José Manuel Sálas-Pacheco
- Instituto de Investigación Científica, Universidad Juárez del Estado de Durango, Av. Universidad y Fanny Anitúa s/n, C.P. 34000, Durango, Dgo, Mexico
| | - Fernando Vazquez-Alaniz
- Facultad de Ciencias Químicas, Universidad Juárez del Estado de Durango, Durango, Dgo., México AV. Veterinaria s/n Circuito Universitario, C.P. 34120 Durango, Dgo, Mexico; Hospital General 450 Servicios de Salud de Durango Blvd José María Patoni No. 403 Col El Cipres, CP 34206, Durango, Dgo, Mexico
| | - Ángel Antonio Vértiz-Hernández
- Coordinación Académica Región Altiplano, Universidad Autónoma de San Luis Potosí, carretera a Cedral Km 5+600, Ejido San José de las Trojes, CP: 78700, Matehuala, SLP, Mexico
| | - Olga Dania López-Guzmán
- Facultad de Ciencias Químicas, Universidad Juárez del Estado de Durango, Durango, Dgo., México AV. Veterinaria s/n Circuito Universitario, C.P. 34120 Durango, Dgo, Mexico
| | - Eduardo Lozano-Guzmán
- Facultad de Ciencias Químicas, Universidad Juárez del Estado de Durango, Durango, Dgo., México AV. Veterinaria s/n Circuito Universitario, C.P. 34120 Durango, Dgo, Mexico
| | - Aurora Martínez-Romero
- Facultad de Ciencias Químicas, Campus Gómez Palacio, Universidad Juárez del Estado de Durango, Durango, Av. Artículo 123 s/n, Fracc. Filadelfia, 35010 Gómez Palacio, Dgo, Mexico
| | - Norma Úrtiz-Estrada
- Facultad de Ciencias Químicas, Universidad Juárez del Estado de Durango, Durango, Dgo., México AV. Veterinaria s/n Circuito Universitario, C.P. 34120 Durango, Dgo, Mexico
| | - Maribel Cervantes-Flores
- Facultad de Ciencias Químicas, Universidad Juárez del Estado de Durango, Durango, Dgo., México AV. Veterinaria s/n Circuito Universitario, C.P. 34120 Durango, Dgo, Mexico.
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152
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Gene-lifestyle interplay in type 2 diabetes. Curr Opin Genet Dev 2018; 50:35-40. [PMID: 29459268 DOI: 10.1016/j.gde.2018.02.001] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2018] [Revised: 02/01/2018] [Accepted: 02/01/2018] [Indexed: 12/20/2022]
Abstract
Type 2 diabetes (T2D) is widespread, affecting the health of hundreds of millions worldwide. The disease results from the complex interplay of lifestyle factors acting on a backdrop of inherited DNA risk variants. Detecting and understanding biomarkers, whether genotypes or other downstream biological features that dictate a person's phenotypic response to different lifestyle exposures, may have tremendous utility in the prevention of T2D. Here, we explore (i) evidence of how human genetic adaptation to diverse local environments might interact with lifestyle factors in T2D, (ii) the key challenges facing the research area of gene×lifestyle interactions in T2D, and (iii) the solutions that might be pursued in future studies. Overall, many preliminary examples of such interactions exist, but none is sufficient to have a major impact on clinical decision making. Future studies, integrating genetics and other biological markers into regulatory networks, are likely to be necessary to facilitate the integration of genomics into lifestyle medicine in T2D.
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Abstract
Globally, the number of people with diabetes mellitus has quadrupled in the past three decades, and diabetes mellitus is the ninth major cause of death. About 1 in 11 adults worldwide now have diabetes mellitus, 90% of whom have type 2 diabetes mellitus (T2DM). Asia is a major area of the rapidly emerging T2DM global epidemic, with China and India the top two epicentres. Although genetic predisposition partly determines individual susceptibility to T2DM, an unhealthy diet and a sedentary lifestyle are important drivers of the current global epidemic; early developmental factors (such as intrauterine exposures) also have a role in susceptibility to T2DM later in life. Many cases of T2DM could be prevented with lifestyle changes, including maintaining a healthy body weight, consuming a healthy diet, staying physically active, not smoking and drinking alcohol in moderation. Most patients with T2DM have at least one complication, and cardiovascular complications are the leading cause of morbidity and mortality in these patients. This Review provides an updated view of the global epidemiology of T2DM, as well as dietary, lifestyle and other risk factors for T2DM and its complications.
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Affiliation(s)
- Yan Zheng
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, 2005 Songhu Road, Shanghai, China
- Department of Nutrition, Harvard T.H. Chan School of Public Health, 2005 Songhu Road, Shanghai, China
| | - Sylvia H Ley
- Department of Nutrition, Harvard T.H. Chan School of Public Health, 2005 Songhu Road, Shanghai, China
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 181 Longwood Avenue, Boston, Massachusetts 02115, USA
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, 2005 Songhu Road, Shanghai, China
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, Massachusetts 02115, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 181 Longwood Avenue, Boston, Massachusetts 02115, USA
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154
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Song M, Zheng Y, Qi L, Hu FB, Chan AT, Giovannucci EL. Longitudinal Analysis of Genetic Susceptibility and BMI Throughout Adult Life. Diabetes 2018; 67:248-255. [PMID: 29212779 PMCID: PMC5780056 DOI: 10.2337/db17-1156] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Accepted: 11/21/2017] [Indexed: 01/01/2023]
Abstract
Little is known about the genetic influence on BMI trajectory throughout adulthood. We created a genetic risk score (GRS) comprising 97 adult BMI-associated variants among 9,971 women and 6,405 men of European ancestry. Serial measures of BMI were assessed from 18 (women) or 21 (men) years to 85 years of age. We also examined BMI change in early (from 18 or 21 to 45 years of age), middle (from 45 to 65 years of age), and late adulthood (from 65 to 80 years of age). GRS was positively associated with BMI across all ages, with stronger associations in women than in men. The associations increased from early to middle adulthood, peaked at 45 years of age in men and at 60 years of age in women (0.91 and 1.35 kg/m2 per 10-allele increment, respectively) and subsequently declined in late adulthood. For women, each 10-allele increment in the GRS was associated with an average BMI gain of 0.54 kg/m2 in early adulthood, whereas no statistically significant association was found for BMI change in middle or late adulthood or for BMI change in any life period in men. Our findings indicate that genetic predisposition exerts a persistent effect on adiposity throughout adult life and increases early adulthood weight gain in women.
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Affiliation(s)
- Mingyang Song
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, and Harvard Medical School, Boston, MA
- Division of Gastroenterology, Massachusetts General Hospital, Boston, MA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Yan Zheng
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
| | - Lu Qi
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Andrew T Chan
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, and Harvard Medical School, Boston, MA
- Division of Gastroenterology, Massachusetts General Hospital, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA
| | - Edward L Giovannucci
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
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155
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Du J, Shen L, Tan Z, Zhang P, Zhao X, Xu Y, Gan M, Yang Q, Ma J, Jiang A, Tang G, Jiang Y, Jin L, Li M, Bai L, Li X, Wang J, Zhang S, Zhu L. Betaine Supplementation Enhances Lipid Metabolism and Improves Insulin Resistance in Mice Fed a High-Fat Diet. Nutrients 2018; 10:E131. [PMID: 29373534 PMCID: PMC5852707 DOI: 10.3390/nu10020131] [Citation(s) in RCA: 74] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2017] [Revised: 01/07/2018] [Accepted: 01/18/2018] [Indexed: 01/22/2023] Open
Abstract
Obesity is a major driver of metabolic diseases such as nonalcoholic fatty liver disease, certain cancers, and insulin resistance. However, there are no effective drugs to treat obesity. Betaine is a nontoxic, chemically stable and naturally occurring molecule. This study shows that dietary betaine supplementation significantly inhibits the white fat production in a high-fat diet (HFD)-induced obese mice. This might be due to betaine preventing the formation of new white fat (WAT), and guiding the original WAT to burn through stimulated mitochondrial biogenesis and promoting browning of WAT. Furthermore, dietary betaine supplementation decreases intramyocellular lipid accumulation in HFD-induced obese mice. Further analysis shows that betaine supplementation reduced intramyocellular lipid accumulation might be associated with increasing polyunsaturated fatty acids (PUFA), fatty acid oxidation, and the inhibition of fatty acid synthesis in muscle. Notably, by performing insulin-tolerance tests (ITTs) and glucose-tolerance tests (GTTs), dietary betaine supplementation could be observed for improvement of obesity and non-obesity induced insulin resistance. Together, these findings could suggest that inhibiting WAT production, intramyocellular lipid accumulation and inflammation, betaine supplementation limits HFD-induced obesity and improves insulin resistance.
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MESH Headings
- 3T3-L1 Cells
- Adipocytes, White/cytology
- Adipocytes, White/metabolism
- Adipocytes, White/pathology
- Adipogenesis
- Adiposity
- Animals
- Animals, Outbred Strains
- Anti-Obesity Agents/therapeutic use
- Betaine/adverse effects
- Betaine/therapeutic use
- Diabetes Mellitus, Experimental/blood
- Diabetes Mellitus, Experimental/diet therapy
- Diabetes Mellitus, Experimental/metabolism
- Diabetes Mellitus, Experimental/pathology
- Diet, High-Fat/adverse effects
- Dietary Supplements
- Female
- Hyperglycemia/prevention & control
- Hypoglycemic Agents/therapeutic use
- Insulin Resistance
- Lipid Droplets/metabolism
- Lipid Droplets/pathology
- Lipid Metabolism
- Mice
- Muscle, Skeletal/metabolism
- Muscle, Skeletal/pathology
- Obesity/diet therapy
- Obesity/etiology
- Obesity/metabolism
- Obesity/pathology
- Weight Gain
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Affiliation(s)
- Jingjing Du
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 625014, China.
| | - Linyuan Shen
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 625014, China.
| | - Zhendong Tan
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 625014, China.
| | - Peiwen Zhang
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 625014, China.
| | - Xue Zhao
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 625014, China.
| | - Yan Xu
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 625014, China.
| | - Mailing Gan
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 625014, China.
| | - Qiong Yang
- Department of Animal Husbandry and Veterinary Medicine, Chengdu Agricultural College, Chengdu 611100, China.
| | - Jideng Ma
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 625014, China.
| | - An'an Jiang
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 625014, China.
| | - Guoqing Tang
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 625014, China.
| | - Yanzhi Jiang
- College of Life and Biology Science, Sichuan Agricultural University, Chengdu 611130, China.
| | - Long Jin
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 625014, China.
| | - Mingzhou Li
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 625014, China.
| | - Lin Bai
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 625014, China.
| | - Xuewei Li
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 625014, China.
| | - Jinyong Wang
- Chongqing Academy of Animal Science, Chongqing 402460, China.
| | - Shunhua Zhang
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 625014, China.
| | - Li Zhu
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 625014, China.
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156
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157
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Guo X, Zhang T, Shi L, Gong M, Jin J, Zhang Y, Liu R, Chang M, Jin Q, Wang X. The relationship between lipid phytochemicals, obesity and its related chronic diseases. Food Funct 2018; 9:6048-6062. [DOI: 10.1039/c8fo01026a] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
This review focuses on phytochemicals in oils, and summarizes the mechanisms of the anti-obesity effects of these compounds in in vitro studies, animal models, and human trials.
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158
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Karunakaran S, Clee SM. Genetics of metabolic syndrome: potential clues from wild-derived inbred mouse strains. Physiol Genomics 2018; 50:35-51. [DOI: 10.1152/physiolgenomics.00059.2017] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
The metabolic syndrome (MetS) is a complex constellation of metabolic abnormalities including obesity, abnormal glucose metabolism, dyslipidemia, and elevated blood pressure that together substantially increase risk for cardiovascular disease and Type 2 diabetes. Both genetic and environmental factors contribute to the development of MetS, but this process is still far from understood. Human studies have revealed only part of the underlying basis. Studies in mice offer many strengths that can complement human studies to help elucidate the etiology and pathophysiology of MetS. Here we review the ways mice can contribute to MetS research. In particular, we focus on the information that can be obtained from studies of the inbred strains, with specific focus on the phenotypes of the wild-derived inbred strains. These are newly derived inbred strains that were created from wild-caught mice. They contain substantial genetic variation that is not present in the classical inbred strains, have phenotypes of relevance for MetS, and various mouse strain resources have been created to facilitate the mining of this new genetic variation. Thus studies using wild-derived inbred strains hold great promise for increasing our understanding of MetS.
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Affiliation(s)
- Subashini Karunakaran
- Department of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, British Columbia, Canada
| | - Susanne M. Clee
- Department of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, British Columbia, Canada
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159
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Li CG, Ni CL, Yang M, Tang YZ, Li Z, Zhu YJ, Jiang ZH, Sun B, Li CJ. Honokiol protects pancreatic β cell against high glucose and intermittent hypoxia-induced injury by activating Nrf2/ARE pathway in vitro and in vivo. Biomed Pharmacother 2018; 97:1229-1237. [DOI: 10.1016/j.biopha.2017.11.063] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2017] [Revised: 10/31/2017] [Accepted: 11/10/2017] [Indexed: 12/29/2022] Open
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160
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Moran-Ramos S, López-Contreras BE, Canizales-Quinteros S. Gut Microbiota in Obesity and Metabolic Abnormalities: A Matter of Composition or Functionality? Arch Med Res 2017; 48:735-753. [PMID: 29292011 DOI: 10.1016/j.arcmed.2017.11.003] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2017] [Accepted: 11/15/2017] [Indexed: 12/18/2022]
Abstract
The obesity pandemic and the metabolic complications derived from it represent a major public health challenge worldwide. Although obesity is a multifactorial disease, research from the past decade suggests that the gut microbiota interacts with host genetics and diet, as well as with other environmental factors, and thus contributes to the development of obesity and related complications. Despite abundant research on animal models, substantial evidence from humans has only started to accumulate over the past few years. Thus, the aim of the present review is to discuss structural and functional characteristics of the gut microbiome in human obesity, challenges associated with multi-omic technologies, and advances in identifying microbial metabolites with a direct link to obesity and metabolic complications. To date, studies suggests that obesity is related to low microbial diversity and taxon depletion sometimes resulting from an interaction with host dietary habits and genotype. These findings support the idea that the depletion or absence of certain taxa leaves an empty niche, likely leading to compromised functionality and thus promoting dysbiosis. Although the role of altered gut microbiota as cause or consequence of obesity remains controversial, research on microbial genomes and metabolites points towards an increased extraction of energy from the diet in obesity and suggests that metabolites, such as trimethylamine-N-oxide or branched-chain amino acids, participate in metabolic complications. Future research should be focused on structural and functional levels to unravel the mechanism linking gut microbiota and obesity.
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Affiliation(s)
- Sofia Moran-Ramos
- Consejo Nacional de Ciencia y Tecnología (CONACYT), Ciudad de México, México; Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica, Ciudad de México, México.
| | - Blanca E López-Contreras
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica, Ciudad de México, México
| | - Samuel Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica, Ciudad de México, México.
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161
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Du J, Dong W, Li H, Li B, Liu X, Kong Q, Sun W, Sun T, Ma P, Cui Y, Kang P. Protective effects of IFN-γ on the kidney of type- 2 diabetic KKAy mice. Pharmacol Rep 2017; 70:607-613. [PMID: 29684848 DOI: 10.1016/j.pharep.2017.12.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2017] [Revised: 12/19/2017] [Accepted: 12/20/2017] [Indexed: 12/19/2022]
Abstract
BACKGROUND Development of novel therapeutic strategies that specifically target diabetic kidney disease (DKD) is urgently needed. METHODS Male KKAy mice were divided randomly into three equal groups - KK, KI, and KF; Male C57BL/6 mice were the control group. All KKAy mice were fed a high-fat diet. From the 16th week, the KI group was given IFN-γ, and the KF group was assigned to be treated with fludarabine. C57BL/6 mice were always fed a normal mouse diet. Every 4 weeks, body weight, random blood sugar, urine albumin and urea of all mice were measured. At the 20th week, all mice were killed, renal tissue was obtained to observe the pathological manifestations and extract proteins, and transforming growth factor- beta1 (TGF-β1), collagen IV and Janus kinase 2/signal transducers and activators of transcription 1 (JAK2/STAT1) pathway proteins were measured by western blot. RESULTS The present study showed that all KKAy mice appeared obese and hyperglycaemic from 12 weeks old and exhibited an increased urine albumin-to-creatinine ratio (ACR) from 16 weeks old. At the 20th week, compared to the KK group, the KI group showed lower ACR, more overexpression of P-STAT1 and less expression of TGF-β1 and collagen IV proteins in renal tissue. The KI group mice showed less accumulation of glomerular mesangial matrix than those in the KK group. CONCLUSIONS Our results indicate that IFN-γ might activate STAT1 to suppress the overexpression of TGF-β1 and collagen IV proteins and attenuate the excessive accumulation of mesangial matrix under DKD conditions in KKAy mice.
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Affiliation(s)
- Juan Du
- Department of Nephrology, Daqing Oilfield General Hospital, Daqing, PR China.
| | - Wenpeng Dong
- Department of Nephrology, Daqing Oilfield General Hospital, Daqing, PR China.
| | - Huifeng Li
- Department of Nephrology, Daqing Oilfield General Hospital, Daqing, PR China.
| | - Bo Li
- Department of Nephrology, Daqing Oilfield General Hospital, Daqing, PR China.
| | - Xiaodan Liu
- Department of Nephrology, First Hospital of China Medical University, Shenyang, PR China.
| | - Qinghui Kong
- Daqing OilField Communication Technology Company, Daqing, PR China.
| | - Wei Sun
- Department of Nephrology, Daqing Oilfield General Hospital, Daqing, PR China.
| | - Tingli Sun
- Department of Nephrology, Daqing Oilfield General Hospital, Daqing, PR China.
| | - Peilong Ma
- Department of Nephrology, Daqing Oilfield General Hospital, Daqing, PR China.
| | - Yan Cui
- Department of Nephrology, Daqing Oilfield General Hospital, Daqing, PR China.
| | - Ping Kang
- Department of Nephrology, Daqing Oilfield General Hospital, Daqing, PR China.
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162
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Yang Y. Using agent-based modeling to study multiple risk factors and multiple health outcomes at multiple levels. Ann N Y Acad Sci 2017; 1408:7-14. [PMID: 29239482 DOI: 10.1111/nyas.13558] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2017] [Revised: 10/27/2017] [Accepted: 10/30/2017] [Indexed: 11/28/2022]
Abstract
Most health studies focus on one health outcome and examine the influence of one or multiple risk factors. However, in reality, various pathways, interactions, and associations exist not only between risk factors and health outcomes but also among the risk factors and among health outcomes. The advance of system science methods, Big Data, and accumulated knowledge allows us to examine how multiple risk factors influence multiple health outcomes at multiple levels (termed a 3M study). Using the study of neighborhood environment and health as an example, I elaborate on the significance of 3M studies. 3M studies may lead to a significantly deeper understanding of the dynamic interactions among risk factors and outcomes and could help us design better interventions that may be of particular relevance for upstream interventions. Agent-based modeling (ABM) is a promising method in the 3M study, although its potentials are far from being fully explored. Future challenges include the gap of epidemiologic knowledge and evidence, lack of empirical data sources, and the technical challenges of ABM.
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Affiliation(s)
- Yong Yang
- School of Public Health, University of Memphis, Memphis, Tennessee
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163
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Bashiardes S, Godneva A, Elinav E, Segal E. Towards utilization of the human genome and microbiome for personalized nutrition. Curr Opin Biotechnol 2017; 51:57-63. [PMID: 29223004 DOI: 10.1016/j.copbio.2017.11.013] [Citation(s) in RCA: 78] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2017] [Revised: 11/19/2017] [Accepted: 11/24/2017] [Indexed: 12/20/2022]
Abstract
Generalized dietary and lifestyle guidelines have been formulated and published for decades now from a variety of relevant agencies in an attempt to guide people towards healthy choices. As the pandemic rise in metabolic diseases continues to increase, it has become clear that the one-fit-for-all diet approach does not work and that there is a significant variation in inter-individual responses to diet and lifestyle interventions. Recent technological advances have given an unprecedented insight into the sources of this variation, pointing towards our genome and microbiome as potentially and previously under-explored culprits contributing to individually unique dietary responses. Variations in our genome influence the bioavailability and metabolism of nutrients between individuals, while inter-individual compositional variation of commensal gut microbiota leads to different microbe functional potential, metabolite production and metabolism modulation. Quantifying and incorporating these factors into a comprehensive personalized nutrition approach may enable practitioners to rationally incorporate individual nutritional recommendations in combating the metabolic syndrome pandemic.
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Affiliation(s)
- Stavros Bashiardes
- Immunology Department, Weizmann Institute of Science, 76100 Rehovot, Israel
| | - Anastasia Godneva
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, 76100 Rehovot, Israel; Department of Molecular Cell Biology, Weizmann Institute of Science, 76100 Rehovot, Israel
| | - Eran Elinav
- Immunology Department, Weizmann Institute of Science, 76100 Rehovot, Israel.
| | - Eran Segal
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, 76100 Rehovot, Israel; Department of Molecular Cell Biology, Weizmann Institute of Science, 76100 Rehovot, Israel.
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164
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Bihoreau MT, Dumas ME, Lathrop M, Gauguier D. Genomic regulation of type 2 diabetes endophenotypes: Contribution from genetic studies in the Goto-Kakizaki rat. Biochimie 2017; 143:56-65. [DOI: 10.1016/j.biochi.2017.08.012] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2017] [Accepted: 08/20/2017] [Indexed: 11/30/2022]
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de Souza HSP, Fiocchi C, Iliopoulos D. The IBD interactome: an integrated view of aetiology, pathogenesis and therapy. Nat Rev Gastroenterol Hepatol 2017; 14:739-749. [PMID: 28831186 DOI: 10.1038/nrgastro.2017.110] [Citation(s) in RCA: 274] [Impact Index Per Article: 39.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Crohn's disease and ulcerative colitis are prototypical complex diseases characterized by chronic and heterogeneous manifestations, induced by interacting environmental, genomic, microbial and immunological factors. These interactions result in an overwhelming complexity that cannot be tackled by studying the totality of each pathological component (an '-ome') in isolation without consideration of the interaction among all relevant -omes that yield an overall 'network effect'. The outcome of this effect is the 'IBD interactome', defined as a disease network in which dysregulation of individual -omes causes intestinal inflammation mediated by dysfunctional molecular modules. To define the IBD interactome, new concepts and tools are needed to implement a systems approach; an unbiased data-driven integration strategy that reveals key players of the system, pinpoints the central drivers of inflammation and enables development of targeted therapies. Powerful bioinformatics tools able to query and integrate multiple -omes are available, enabling the integration of genomic, epigenomic, transcriptomic, proteomic, metabolomic and microbiome information to build a comprehensive molecular map of IBD. This approach will enable identification of IBD molecular subtypes, correlations with clinical phenotypes and elucidation of the central hubs of the IBD interactome that will aid discovery of compounds that can specifically target the hubs that control the disease.
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Affiliation(s)
- Heitor S P de Souza
- Department of Gastroenterology & Multidisciplinary Research Laboratory, Federal University of Rio de Janeiro, Rio de Janeiro 21941-913, Brazil
| | - Claudio Fiocchi
- Department of Pathobiology, Lerner Research Institute, Department of Gastroenterology and Hepatology, Digestive Disease and Surgery Institute, Cleveland Clinic, Cleveland, Ohio 44195, USA
| | - Dimitrios Iliopoulos
- Center for Systems Biomedicine, Vatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California 90095, USA
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166
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Cao X, Han C, Wen J, Guo X, Zhang K. Nicotine increases apoptosis in HUVECs cultured in high glucose/high fat via Akt ubiquitination and degradation. Clin Exp Pharmacol Physiol 2017; 45:198-204. [PMID: 28963785 DOI: 10.1111/1440-1681.12865] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2017] [Revised: 09/04/2017] [Accepted: 09/19/2017] [Indexed: 12/12/2022]
Abstract
It is well-documented that nicotine, the main active ingredient in cigarettes, results in endothelial cell injury in numerous diseases. However, whether nicotine plays a crucial role in endothelial cell injury in diabetes and the exact molecular mechanism that mediates this process have not been fully elucidated. The current study aimed to investigate the effects of nicotine on endothelial cell injury in diabetes and the specific molecular mechanism by which it plays a role. Human umbilical vein endothelial cells (HUVECs) were incubated in HG/HF media and treated with nicotine, PYR-41 (a selective ubiquitin E1 inhibitor), Akt-overexpressing adenovirus, or TTC3 and MUL1 shRNA adenovirus. Cell viability was subsequently detected by the CCK8 assay, and apoptosis was examined by caspase-3 cleavage and activity analysis. Compared to the HG/HF incubated group, nicotine incubation significantly decreased cell survival and increased apoptosis. Moreover, nicotine induced Akt degradation via UPS, and Akt overexpression blocked nicotine-induced apoptosis in HUVECs cultured in HG/HF media. Furthermore, the TTC3 and MUL1 shRNA adenovirus dramatically decreased the Akt ubiquitination and apoptosis induced by nicotine. These results indicate that nicotine-induced Akt ubiquitination and degradation occurs through TTC3 and MUL1 and results in a dramatic increase in apoptosis in HUVECs cultured in HG/HF media.
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Affiliation(s)
- Xiaofang Cao
- Center for Disease Control and Prevention of Baoji City, Baoji City, Shanxi Province, China
| | - Chunling Han
- Baoji Maternal and Child Health Hospital, Baoji City, Shanxi Province, China
| | - Jinsuo Wen
- Center for Disease Control and Prevention of Baoji City, Baoji City, Shanxi Province, China
| | - Xiaokun Guo
- Center for Disease Control and Prevention of Baoji City, Baoji City, Shanxi Province, China
| | - Kejian Zhang
- Center for Disease Control and Prevention of Baoji City, Baoji City, Shanxi Province, China
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167
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Chen X, Yu W, Li W, Zhang H, Huang W, Wang J, Zhu W, Fang Q, Chen C, Li X, Liang G. An anti-inflammatory chalcone derivative prevents heart and kidney from hyperlipidemia-induced injuries by attenuating inflammation. Toxicol Appl Pharmacol 2017; 338:43-53. [PMID: 29128402 DOI: 10.1016/j.taap.2017.11.003] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Revised: 08/11/2017] [Accepted: 11/07/2017] [Indexed: 01/16/2023]
Abstract
Obesity is a growing pandemic in both developed and developing countries. Lipid overload in obesity generates a chronic, low-grade inflammation state. Increased inflammation in heart and renal tissues has been shown to promote the progression of heart and renal damage in obesity. Previously, we found that a novel chalcone derivative, L6H21, inhibited lipopolysaccharide-induced inflammatory response. In the present study, we investigated the effects of L6H21 on inflammatory responses in culture and in animal models of lipid overload. We utilized palmitic acid (PA) challenging in mouse peritoneal macrophages and apolipoprotein E knockout (ApoE-/-) mice fed a high fat diet (HFD) to study whether L6H21 mitigates the inflammatory response. Our studies show that L6H21 significantly reduced PA-induced expression of inflammatory cytokines in macrophages by inhibiting mitogen-activated protein kinase (MAPK) and nuclear factor-κB (NFκB) signaling pathways. L6H21 also reduced fibrosis in the kidney and heart tissues, and indices of inflammatory response in the ApoE-/- mice fed a HFD. These effects in vivo were also associated with inhibition of MAPK and NFκB signaling by L6H21. These findings strongly suggest that L6H21 may be a potential agent for high fat diet-induced injuries in heart and kidney.
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Affiliation(s)
- Xiong Chen
- Chemical Biology Research Center, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, Zhejiang, China; Department of Endocrinology, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Weihui Yu
- Department of Endocrinology, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Weixin Li
- Chemical Biology Research Center, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Hailing Zhang
- Department of Endocrinology, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Weijian Huang
- Department of Cardiology, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Jingying Wang
- Chemical Biology Research Center, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Weiwei Zhu
- Chemical Biology Research Center, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Qilu Fang
- Chemical Biology Research Center, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Chao Chen
- Chemical Biology Research Center, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, Zhejiang, China; College of Life Sciences, Huzhou University, Huzhou, Zhejiang, China
| | - Xiaokun Li
- Chemical Biology Research Center, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, Zhejiang, China.
| | - Guang Liang
- Chemical Biology Research Center, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, Zhejiang, China.
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168
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Abstract
PURPOSE OF REVIEW The purpose of this review was to summarize and reflect on advances over the past decade in human genetic and metabolomic discovery with particular focus on their contributions to type 2 diabetes (T2D) risk prediction. RECENT FINDINGS In the past 10 years, a combination of advances in genotyping efficiency, metabolomic profiling, bioinformatics approaches, and international collaboration have moved T2D genetics and metabolomics from a state of frustration to an abundance of new knowledge. Efforts to control and prevent T2D have failed to stop this global epidemic. New approaches are needed, and although neither genetic nor metabolomic profiling yet have a clear clinical role, the rapid pace of accumulating knowledge offers the possibility for "multi-omic" prediction to improve health.
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Affiliation(s)
- Jordi Merino
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, 02115, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, 02141, USA
| | - Miriam S Udler
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, 02115, USA.
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, 02141, USA.
| | - Aaron Leong
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, 02115, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, 02141, USA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - James B Meigs
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, 02141, USA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA
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169
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Gene-nutrient interactions and susceptibility to human obesity. GENES AND NUTRITION 2017; 12:29. [PMID: 29093760 PMCID: PMC5663124 DOI: 10.1186/s12263-017-0581-3] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/17/2017] [Accepted: 07/04/2017] [Indexed: 12/28/2022]
Abstract
A large number of genome-wide association studies, transferability studies, and candidate gene studies performed in diverse populations around the world have identified gene variants that are associated with common human obesity. The mounting evidence suggests that these obesity gene variants interact with multiple environmental factors and increase susceptibility to this complex metabolic disease. The objective of this review article is to provide concise and updated information on energy balance, heritability of body weight, origins of gene variants, and gene-nutrient interactions in relation to human obesity. It is proposed that knowledge of these related topics will provide valuable insight for future preventative lifestyle intervention using targeted nutritional and medicinal therapies.
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170
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Bonnefond A, Froguel P. Disentangling the Role of Melatonin and its Receptor MTNR1B in Type 2 Diabetes: Still a Long Way to Go? Curr Diab Rep 2017; 17:122. [PMID: 29063374 DOI: 10.1007/s11892-017-0957-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
PURPOSE OF REVIEW Type 2 diabetes (T2D) is a complex genetic metabolic disorder. T2D heritability has been estimated around 40-70%. In the last decade, exponential progress has been made in identifying T2D genetic determinants, through genome-wide association studies (GWAS). Among single-nucleotide polymorphisms mostly associated with T2D risk, rs10830963 is located in the MTNR1B gene, encoding one of the two receptors of melatonin, a neurohormone involved in circadian rhythms. Subsequent studies aiming to disentangle the role of MTNR1B in T2D pathophysiology led to controversies. In this review, we will tackle them and will try to give some directions to get a better view of MTNR1B contribution to T2D pathophysiology. RECENT FINDINGS Recent studies either based on genetic/genomic analyses, clinical/epidemiology data, functional analyses at rs10830963 locus, insulin secretion assays in response to melatonin (involving or not MTNR1B) or animal model analyses have led to strong controversies at each level of interpretation. We discuss possible caveats in these studies and present ways to go beyond these issues, towards a better understanding of T2D molecular mechanisms, keeping in mind that melatonin is a versatile hormone and regulates many functions via its primary role in the body clock.
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Affiliation(s)
- Amélie Bonnefond
- CNRS UMR 8199. European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, Pôle Recherche-1er - 1er étage Aile Ouest, 1 place de Verdun, 59045, Lille Cedex, France.
| | - Philippe Froguel
- CNRS UMR 8199. European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, Pôle Recherche-1er - 1er étage Aile Ouest, 1 place de Verdun, 59045, Lille Cedex, France
- Genomics of Common Disease, Imperial College London, London, W12 0NN, UK
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171
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Hendryx M, Guerra-Reyes L, Holland BD, McGinnis MD, Meanwell E, Middlestadt SE, Yoder KM. A county-level cross-sectional analysis of positive deviance to assess multiple population health outcomes in Indiana. BMJ Open 2017; 7:e017370. [PMID: 29025840 PMCID: PMC5652502 DOI: 10.1136/bmjopen-2017-017370] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
OBJECTIVE To test a positive deviance method to identify counties that are performing better than statistical expectations on a set of population health indicators. DESIGN Quantitative, cross-sectional county-level secondary analysis of risk variables and outcomes in Indiana. Data are analysed using multiple linear regression to identify counties performing better or worse than expected given traditional risk indicators, with a focus on 'positive deviants' or counties performing better than expected. PARTICIPANTS Counties in Indiana (n=92) constitute the unit of analysis. MAIN OUTCOME MEASURES Per cent adult obesity, per cent fair/poor health, low birth weight per cent, per cent with diabetes, years of potential life lost, colorectal cancer incidence rate and circulatory disease mortality rate. RESULTS County performance that outperforms expectations is for the most part outcome specific. But there are a few counties that performed particularly well across most measures. CONCLUSIONS The positive deviance approach provides a means for state and local public health departments to identify places that show better health outcomes despite demographic, social, economic or behavioural disadvantage. These places may serve as case studies or models for subsequent investigations to uncover best practices in the face of adversity and generalise effective approaches to other areas.
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Affiliation(s)
- Michael Hendryx
- Department of Environmental and Occupational Health, Indiana University, Bloomington, Indiana, USA
| | - Lucia Guerra-Reyes
- Department of Applied Health Science, Indiana University, Bloomington, Indiana, USA
| | - Benjamin D Holland
- Department of Environmental and Occupational Health, Indiana University, Bloomington, Indiana, USA
| | - Michael Dean McGinnis
- Department of Political Science, Indiana University Bloomington, Bloomington, Indiana, USA
| | - Emily Meanwell
- Social Science Research Commons, Indiana University Bloomington, Bloomington, Indiana, USA
| | | | - Karen M Yoder
- Office of Civic Engagement, Indiana University School of Dentistry, Indianapolis, Indiana, USA
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172
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Li X, Song Y, Ma X, Zhang Y, Liu X, Cheng L, Han D, Shi Y, Sun Q, Yang C, Pan B, Sun Q. Lactobacillus plantarum
and
Lactobacillus fermentum
alone or in combination regulate intestinal flora composition and systemic immunity to alleviate obesity syndrome in high‐fat diet rat. Int J Food Sci Technol 2017. [DOI: 10.1111/ijfs.13567] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Affiliation(s)
- Xiuliang Li
- Laboratory of Microbiology College of Life Science Heilongjiang University Harbin 150080 China
| | - Yong Song
- Laboratory of Microbiology College of Life Science Heilongjiang University Harbin 150080 China
| | - Xiuyan Ma
- Laboratory of Microbiology College of Life Science Heilongjiang University Harbin 150080 China
| | - Yanyan Zhang
- Laboratory of Microbiology College of Life Science Heilongjiang University Harbin 150080 China
| | - Xinyang Liu
- Laboratory of Microbiology College of Life Science Heilongjiang University Harbin 150080 China
| | - Li Cheng
- Laboratory of Microbiology College of Life Science Heilongjiang University Harbin 150080 China
| | - Dequan Han
- Laboratory of Microbiology College of Life Science Heilongjiang University Harbin 150080 China
| | - Yue Shi
- Laboratory of Microbiology College of Life Science Heilongjiang University Harbin 150080 China
| | - Quan Sun
- Laboratory of Microbiology College of Life Science Heilongjiang University Harbin 150080 China
| | - Chunhai Yang
- Laboratory of Microbiology College of Life Science Heilongjiang University Harbin 150080 China
| | - Bo Pan
- Laboratory of Microbiology College of Life Science Heilongjiang University Harbin 150080 China
| | - Qingshen Sun
- Laboratory of Microbiology College of Life Science Heilongjiang University Harbin 150080 China
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173
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High-fat diet increases pain behaviors in rats with or without obesity. Sci Rep 2017; 7:10350. [PMID: 28871134 PMCID: PMC5583349 DOI: 10.1038/s41598-017-10458-z] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2017] [Accepted: 08/08/2017] [Indexed: 02/07/2023] Open
Abstract
Obesity is associated with increased risk for chronic pain. Basic mechanisms for this association are poorly understood. Using a milder version of a radicular pain model, local inflammation of the dorsal root ganglion (DRG), we observed marked increases in mechanical and cold allodynia in rats of both sexes that were maintained on a high-fat diet (HFD) for 6 weeks prior to DRG inflammation. Notably, this increase in pain-related behaviors occurred in both Long-Evans and Sprague-Dawley rats despite the fact that the 6-week HFD exposure induced obesity (e.g., increased insulin, leptin, weight, and percent body fat) in the Long-Evans, but not Sprague-Dawley, strains. This suggested that HFD, rather than obesity per se, increased pain behaviors. Increased pain behaviors were observed even after a much shorter (1 week) exposure to the HFD but the effect was smaller. HFD also increased behavioral responses and paw swelling to paw injection of complete Freund’s adjuvant, a model of peripheral inflammatory pain. No change was detected in plasma cytokine levels in HFD rats. However, increased macrophage infiltration of the DRG was observed in response to the HFD, absent any pain model. The results suggest that HFD can increase pain even when it does not cause obesity.
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174
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Abstract
PURPOSE OF REVIEW With the intention to summarize the currently available evidence on the pathophysiological relevance of inflammation in heart failure, this review addresses the question whether inflammation is a cause or consequence of heart failure, or both. RECENT FINDINGS This review discusses the diversity (sterile, para-inflammation, chronic inflammation) and sources of inflammation and gives an overview of how inflammation (local versus systemic) can trigger heart failure. On the other hand, the review is outlined how heart failure-associated wall stress and signals released by stressed, malfunctioning, or dead cells (DAMPs: e.g., mitochondrial DNA, ATP, S100A8, matricellular proteins) induce cardiac sterile inflammation and how heart failure provokes inflammation in various peripheral tissues in a direct (inflammatory) and indirect (hemodynamic) manner. The crosstalk between the heart and peripheral organs (bone marrow, spleen, gut, adipose tissue) is outlined and the importance of neurohormonal mechanisms including the renin angiotensin aldosteron system and the ß-adrenergic nervous system in inflammation and heart failure is discussed. Inflammation and heart failure are strongly interconnected and mutually reinforce each other. This indicates the difficulty to counteract inflammation and heart failure once this chronic vicious circle has started and points out the need to control the inflammatory process at an early stage avoiding chronic inflammation and heart failure. The diversity of inflammation further addresses the need for a tailored characterization of inflammation enabling differentiation of inflammation and subsequent target-specific strategies. It is expected that the characterization of the systemic and/or cardiac immune profile will be part of precision medicine in the future of cardiology.
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Affiliation(s)
- Sophie Van Linthout
- Berlin-Brandenburg Center for Regenerative Therapies, Charité – Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Carsten Tschöpe
- Berlin-Brandenburg Center for Regenerative Therapies, Charité – Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Department of Cardiology, Campus Virchow Klinikum, Charité – Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
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175
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Gene-Diet Interactions in Type 2 Diabetes: The Chicken and Egg Debate. Int J Mol Sci 2017; 18:ijms18061188. [PMID: 28574454 PMCID: PMC5486011 DOI: 10.3390/ijms18061188] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2017] [Revised: 05/23/2017] [Accepted: 05/26/2017] [Indexed: 02/07/2023] Open
Abstract
Consistent evidence from both experimental and human studies indicates that Type 2 diabetes mellitus (T2DM) is a complex disease resulting from the interaction of genetic, epigenetic, environmental, and lifestyle factors. Nutrients and dietary patterns are important environmental factors to consider in the prevention, development and treatment of this disease. Nutritional genomics focuses on the interaction between bioactive food components and the genome and includes studies of nutrigenetics, nutrigenomics and epigenetic modifications caused by nutrients. There is evidence supporting the existence of nutrient-gene and T2DM interactions coming from animal studies and family-based intervention studies. Moreover, many case-control, cohort, cross-sectional cohort studies and clinical trials have identified relationships between individual genetic load, diet and T2DM. Some of these studies were on a large scale. In addition, studies with animal models and human observational studies, in different countries over periods of time, support a causative relationship between adverse nutritional conditions during in utero development, persistent epigenetic changes and T2DM. This review provides comprehensive information on the current state of nutrient-gene interactions and their role in T2DM pathogenesis, the relationship between individual genetic load and diet, and the importance of epigenetic factors in influencing gene expression and defining the individual risk of T2DM.
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176
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Thomsen SK, Gloyn AL. Human genetics as a model for target validation: finding new therapies for diabetes. Diabetologia 2017; 60:960-970. [PMID: 28447115 PMCID: PMC5423999 DOI: 10.1007/s00125-017-4270-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2016] [Accepted: 03/14/2017] [Indexed: 01/01/2023]
Abstract
Type 2 diabetes is a global epidemic with major effects on healthcare expenditure and quality of life. Currently available treatments are inadequate for the prevention of comorbidities, yet progress towards new therapies remains slow. A major barrier is the insufficiency of traditional preclinical models for predicting drug efficacy and safety. Human genetics offers a complementary model to assess causal mechanisms for target validation. Genetic perturbations are 'experiments of nature' that provide a uniquely relevant window into the long-term effects of modulating specific targets. Here, we show that genetic discoveries over the past decades have accurately predicted (now known) therapeutic mechanisms for type 2 diabetes. These findings highlight the potential for use of human genetic variation for prospective target validation, and establish a framework for future applications. Studies into rare, monogenic forms of diabetes have also provided proof-of-principle for precision medicine, and the applicability of this paradigm to complex disease is discussed. Finally, we highlight some of the limitations that are relevant to the use of genome-wide association studies (GWAS) in the search for new therapies for diabetes. A key outstanding challenge is the translation of GWAS signals into disease biology and we outline possible solutions for tackling this experimental bottleneck.
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Affiliation(s)
- Soren K Thomsen
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Old Road, Headington, Oxford, OX3 7LE, UK
| | - Anna L Gloyn
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Old Road, Headington, Oxford, OX3 7LE, UK.
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
- National Institute of Health Research Oxford Biomedical Research Centre, Churchill Hospital, Oxford, UK.
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177
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Abstract
The current focus on delivery of personalised (or precision) medicine reflects the expectation that developments in genomics, imaging and other domains will extend our diagnostic and prognostic capabilities, and enable more effective targeting of current and future preventative and therapeutic options. The clinical benefits of this approach are already being realised in rare diseases and cancer but the impact on management of complex diseases, such as type 2 diabetes, remains limited. This may reflect reliance on inappropriate models of disease architecture, based around rare, high-impact genetic and environmental exposures that are poorly suited to our emerging understanding of type 2 diabetes. This review proposes an alternative 'palette' model, centred on a molecular taxonomy that focuses on positioning an individual with respect to the major pathophysiological processes that contribute to diabetes risk and progression. This model anticipates that many individuals with diabetes will have multiple parallel defects that affect several of these processes. One corollary of this model is that research efforts should, at least initially, be targeted towards identifying and characterising individuals whose adverse metabolic trajectory is dominated by perturbation in a restricted set of processes.
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Affiliation(s)
- Mark I McCarthy
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Old Road, Headington, Oxford, OX3 7LJ, UK.
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
- Oxford NIHR Biomedical Research Centre, Oxford University Hospitals Trust, Oxford, UK.
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178
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den Broeder MJ, Moester MJB, Kamstra JH, Cenijn PH, Davidoiu V, Kamminga LM, Ariese F, de Boer JF, Legler J. Altered Adipogenesis in Zebrafish Larvae Following High Fat Diet and Chemical Exposure Is Visualised by Stimulated Raman Scattering Microscopy. Int J Mol Sci 2017; 18:E894. [PMID: 28441764 PMCID: PMC5412473 DOI: 10.3390/ijms18040894] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2017] [Revised: 04/08/2017] [Accepted: 04/18/2017] [Indexed: 02/08/2023] Open
Abstract
Early life stage exposure to environmental chemicals may play a role in obesity by altering adipogenesis; however, robust in vivo methods to quantify these effects are lacking. The goal of this study was to analyze the effects of developmental exposure to chemicals on adipogenesis in the zebrafish (Danio rerio). We used label-free Stimulated Raman Scattering (SRS) microscopy for the first time to image zebrafish adipogenesis at 15 days post fertilization (dpf) and compared standard feed conditions (StF) to a high fat diet (HFD) or high glucose diet (HGD). We also exposed zebrafish embryos to a non-toxic concentration of tributyltin (TBT, 1 nM) or Tris(1,3-dichloroisopropyl)phosphate (TDCiPP, 0.5 µM) from 0-6 dpf and reared larvae to 15 dpf under StF. Potential molecular mechanisms of altered adipogenesis were examined by qPCR. Diet-dependent modulation of adipogenesis was observed, with HFD resulting in a threefold increase in larvae with adipocytes, compared to StF and HGD. Developmental exposure to TBT but not TDCiPP significantly increased adipocyte differentiation. The expression of adipogenic genes such as pparda, lxr and lepa was altered in response to HFD or chemicals. This study shows that SRS microscopy can be successfully applied to zebrafish to visualize and quantify adipogenesis, and is a powerful approach for identifying obesogenic chemicals in vivo.
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Affiliation(s)
- Marjo J den Broeder
- Institute of Environmental, Health and Societies, Brunel University, UB8 3PH London, UK.
- Institute for Environmental Studies, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.
| | - Miriam J B Moester
- Institute for Lasers, Life and Biophotonics, Department of Physics and Astronomy, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.
| | - Jorke H Kamstra
- Department of Basic Sciences and Aquatic Medicine, Faculty of Veterinary Medicine, Norwegian University of Life Sciences, P.O. BOX 8146, Dep 0033 Oslo, Norway.
| | - Peter H Cenijn
- Institute for Environmental Studies, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.
| | - Valentina Davidoiu
- Institute for Lasers, Life and Biophotonics, Department of Physics and Astronomy, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.
- Rotterdam Ophthalmic Institute, Rotterdam Eye Hospital, 3011 BH Rotterdam, The Netherlands.
| | - Leonie M Kamminga
- Radboud University Nijmegen, Faculty of Science, Department of Molecular Biology, Radboud Institute for Molecular Life Sciences, 6525 GA Nijmegen, The Netherlands.
- Radboud University Medical Center, Radboud Institute for Molecular Life Sciences, 6525 GA Nijmegen, The Netherlands.
| | - Freek Ariese
- Institute for Lasers, Life and Biophotonics, Department of Physics and Astronomy, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.
| | - Johannes F de Boer
- Institute for Lasers, Life and Biophotonics, Department of Physics and Astronomy, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.
| | - Juliette Legler
- Institute of Environmental, Health and Societies, Brunel University, UB8 3PH London, UK.
- Institute for Environmental Studies, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.
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Wang B, Yao M, Lv L, Ling Z, Li L. The Human Microbiota in Health and Disease. ENGINEERING 2017; 3:71-82. [DOI: 10.1016/j.eng.2017.01.008] [Citation(s) in RCA: 448] [Impact Index Per Article: 64.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/30/2023]
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