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Cernea S. NAFLD Fibrosis Progression and Type 2 Diabetes: The Hepatic-Metabolic Interplay. Life (Basel) 2024; 14:272. [PMID: 38398781 PMCID: PMC10890557 DOI: 10.3390/life14020272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 02/13/2024] [Accepted: 02/14/2024] [Indexed: 02/25/2024] Open
Abstract
The bidirectional relationship between type 2 diabetes and (non-alcoholic fatty liver disease) NAFLD is indicated by the higher prevalence and worse disease course of one condition in the presence of the other, but also by apparent beneficial effects observed in one, when the other is improved. This is partly explained by their belonging to a multisystemic disease that includes components of the metabolic syndrome and shared pathogenetic mechanisms. Throughout the progression of NAFLD to more advanced stages, complex systemic and local metabolic derangements are involved. During fibrogenesis, a significant metabolic reprogramming occurs in the hepatic stellate cells, hepatocytes, and immune cells, engaging carbohydrate and lipid pathways to support the high-energy-requiring processes. The natural history of NAFLD evolves in a variable and dynamic manner, probably due to the interaction of a variable number of modifiable (diet, physical exercise, microbiota composition, etc.) and non-modifiable (genetics, age, ethnicity, etc.) risk factors that may intervene concomitantly, or subsequently/intermittently in time. This may influence the risk (and rate) of fibrosis progression/regression. The recognition and control of the factors that determine a rapid progression of fibrosis (or its regression) are critical, as the fibrosis stages are associated with the risk of liver-related and all-cause mortality.
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Affiliation(s)
- Simona Cernea
- Department M3, Internal Medicine I, George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureş, 540142 Târgu Mureş, Romania; or
- Diabetes, Nutrition and Metabolic Diseases Outpatient Unit, Emergency County Clinical Hospital, 540136 Târgu Mureş, Romania
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2
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Rasooly D, Moonesinghe R, Littrell K, Hull L, Khoury MJ. Association Between a First-Degree Family History and Self-Reported Personal History of Obesity, Diabetes, and Heart and Blood Conditions: Results From the All of Us Research Program. J Am Heart Assoc 2023; 12:e030779. [PMID: 37947093 PMCID: PMC10727309 DOI: 10.1161/jaha.123.030779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 10/11/2023] [Indexed: 11/12/2023]
Abstract
Background Family history reflects the complex interplay of genetic susceptibility and shared environmental exposures and is an important risk factor for obesity, diabetes, and heart and blood conditions (ODHB). However, the overlap in family history associations between various ODHBs has not been quantified. Methods and Results We assessed the association between a self-reported family history of ODHBs and their risk in the adult population (age ≥20 years) of the AoU (All of Us) Research Program, a longitudinal cohort study of diverse participants across the United States. We conducted a family history-wide association study to systematically assess the association of a first-degree family history of 15 ODHBs in AoU. We performed stratified analyses based on racial and ethnic categories, education, household income and gender minority status, and quantified associations by type of affected relatives. Of 125 430 participants, 76.8% reported a first-degree family history of any ODHB, most commonly hypertension (n=64 982, 51.8%), high cholesterol (49 753, 39.7%), and heart attack (29 618, 23.6%). We use the FamWAS method to estimate 225 familial associations among 15 ODHBs. The results include overlapping associations between family history of different types of cardiometabolic conditions (such as type 2 diabetes and coronary artery disease), and their risk factors (obesity, hypertension), where adults with a family history of 1 ODHB exhibited 1.1 to 5.6 times (1.5, on average) the odds of having a different ODHB. Conclusions Our findings inform the utility of family history data as a risk assessment and screening tool for the prevention of ODHBs and to provide additional insights into shared risk factors and pathogenic mechanisms.
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Affiliation(s)
- Danielle Rasooly
- Division of Blood Disorders and Public Health GenomicsNational Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and PreventionAtlantaGAUSA
| | - Ramal Moonesinghe
- Division of Blood Disorders and Public Health GenomicsNational Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and PreventionAtlantaGAUSA
| | - Kevin Littrell
- Division of Blood Disorders and Public Health GenomicsNational Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and PreventionAtlantaGAUSA
| | - Leland Hull
- Division of General Internal Medicine, Massachusetts General HospitalBostonMAUSA
- Department of MedicineHarvard Medical SchoolBostonMAUSA
| | - Muin J. Khoury
- Division of Blood Disorders and Public Health GenomicsNational Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and PreventionAtlantaGAUSA
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3
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García-Llorca A, Kararigas G. Sex-Related Effects of Gut Microbiota in Metabolic Syndrome-Related Diabetic Retinopathy. Microorganisms 2023; 11:microorganisms11020447. [PMID: 36838411 PMCID: PMC9967826 DOI: 10.3390/microorganisms11020447] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 01/28/2023] [Accepted: 02/01/2023] [Indexed: 02/12/2023] Open
Abstract
The metabolic syndrome (MetS) is a complex disease of metabolic abnormalities, including obesity, insulin resistance, hypertension and dyslipidaemia, and it is associated with an increased risk of cardiovascular disease (CVD). Diabetic retinopathy (DR) is the leading cause of vision loss among working-aged adults around the world and is the most frequent complication in type 2 diabetic (T2D) patients. The gut microbiota are a complex ecosystem made up of more than 100 trillion of microbial cells and their composition and diversity have been identified as potential risk factors for the development of several metabolic disorders, including MetS, T2D, DR and CVD. Biomarkers are used to monitor or analyse biological processes, therapeutic responses, as well as for the early detection of pathogenic disorders. Here, we discuss molecular mechanisms underlying MetS, the effects of biological sex in MetS-related DR and gut microbiota, as well as the latest advances in biomarker research in the field. We conclude that sex may play an important role in gut microbiota influencing MetS-related DR.
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4
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Kwak JH, Ha EK, Kim JH, Cha HR, Lee SW, Han MY. Association of Familial History of Diabetes, Hypertension, Dyslipidemia, Stroke, or Myocardial Infarction With Risk of Kawasaki Disease. J Am Heart Assoc 2022; 11:e023840. [PMID: 35699188 PMCID: PMC9238666 DOI: 10.1161/jaha.121.023840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Abstract
Background There are few studies on the association with Kawasaki disease in children and the family’s history of cardiovascular disease (CVD). The aim of this study was to identify the association of increased risks for Kawasaki disease in children with a family history of CVD. Methods and Results Clinical data of children born in 2008 and 2009 (n=917 707) were obtained from the National Health Insurance Service and the National Health Screening Program for Infants and Children for this study. The cohort consisted of 495 215 participants (53.8%) who completed the family history questionnaire for children 54 to 60 months old. Family history of CVD included 5 medical conditions: hypertension, dyslipidemia, myocardial infarction, stroke, and diabetes. Kawasaki disease was defined using the disease code, intravenous immunoglobulin prescription, and use of antipyretics for more than 25 days. Severe Kawasaki disease was defined as diagnosis of accompanied cardiac/coronary artery complications or intravenous immunoglobulin use ≥2 times. The incidence rate of Kawasaki disease was 124/100 000 person‐years (95% CI, 117.5–131.5) for children <2 years old, 95/100 000 person‐years (95% CI, 90.5–100.4) in children 2 to 5 years old, and 14/100 000 person‐years (95% CI, 12.6–15.6) in children >5 years old. After propensity‐score matching, 829 participants with a family history of CVD were diagnosed as having Kawasaki disease (0.68% [95% CI, 0.63–0.72]), and 690 patients with Kawasaki disease (0.56% [95% CI, 0.52–0.61]) had no family history of CVD. The family history of CVD was associated with increased risk for Kawasaki disease (risk ratio, 1.20 [95% CI, 1.08–1.32]) but not for severe Kawasaki disease (risk ratio, 1.23 [95% CI, 0.92–1.65]). Conclusions In this nationwide propensity‐score matched study, those with a family history of CVD had a significantly greater risk of Kawasaki disease compared with those who had no family history of CVD.
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Affiliation(s)
- Ji Hee Kwak
- Department of Pediatrics Kangbuk Samsung HospitalSungkyunkwan University School of Medicine Seoul Korea
| | - Eun Kyo Ha
- Department of Pediatrics Kangnam Sacred Heart HospitalHallym University College of Medicine Seoul Korea
| | - Ju Hee Kim
- Department of Pediatrics Kangdong Sacred Heart HospitalHallym University College of Medicine Seoul Korea
| | - Hye Ryung Cha
- Department of Data Science Sejong University College of Software Convergence Seoul Korea
| | - Seung Won Lee
- Department of Data Science Sejong University College of Software Convergence Seoul Korea.,Department of Precision Medicine Sungkyunkwan University School of Medicine Suwon Korea
| | - Man Yong Han
- Department of Pediatrics CHA Bundang Medical Center CHA University School of Medicine Seongnam Korea
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De Pergola G, Castellana F, Zupo R, De Nucci S, Panza F, Castellana M, Lampignano L, Di Chito M, Triggiani V, Sardone R, Giannelli G. A family history of type 2 diabetes as a predictor of fatty liver disease in diabetes-free individuals with excessive body weight. Sci Rep 2021; 11:24084. [PMID: 34916558 PMCID: PMC8677812 DOI: 10.1038/s41598-021-03583-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 12/06/2021] [Indexed: 12/12/2022] Open
Abstract
Comprehensive screening for non-alcoholic fatty liver disease (NAFLD) may help prompt clinical management of fatty liver disease. A family history, especially of diabetes, has been little studied as a predictor for NAFLD. We characterized the cross-sectional relationship between a family history of type 2 diabetes (FHT2D) and NAFLD probability in 1185 diabetes-free Apulian (Southern-Italy) subjects aged > 20 years with overweight or obesity not receiving any drug or supplementation. Clinical data and routine biochemistry were analysed. NAFLD probability was defined using the fatty liver index (FLI). A first-degree FHT2D was assessed by interviewing subjects and assigning a score of 0, 1, or 2 if none, only one, or both parents were affected by type 2 diabetes mellitus (T2DM). Our study population featured most females (70.9%, N = 840), and 48.4% (N = 574) of the sample had first-degree FHT2D. After dividing the sample by a FHT2D, we found a higher BMI, Waist Circumference (WC), and diastolic blood pressure shared by FHT2D subjects; they also showed altered key markers of glucose homeostasis, higher triglyceride levels, and worse liver function. FLI scores were significantly lower in subjects without a first-degree FHT2D. After running logistic regression models, a FHT2D was significantly associated with the NAFLD probability, even adjusting for major confounders and stratifying by age (under and over 40 years of age). A FHT2D led to an almost twofold higher probability of NAFLD, regardless of confounding factors (OR 2.17, 95% CI 1.63 to 2.89). A first-degree FHT2D acts as an independent determinant of NAFLD in excess weight phenotypes, regardless of the age group (younger or older than 40 years). A NAFLD risk assessment within multidimensional screening might be useful in excess weight subjects reporting FHT2D even in the absence of diabetes.
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Affiliation(s)
- Giovanni De Pergola
- Unit of Geriatrics and Internal Medicine, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy.
| | - Fabio Castellana
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy
| | - Roberta Zupo
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy
| | - Sara De Nucci
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy
| | - Francesco Panza
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy
| | - Marco Castellana
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy
| | - Luisa Lampignano
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy
| | - Martina Di Chito
- Unit of Geriatrics and Internal Medicine, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy
| | - Vincenzo Triggiani
- Section of Internal Medicine, Geriatrics, Endocrinology, and Rare Disease, Interdisciplinary Department of Medicine, School of Medicine, University of Bari, 70124, Bari, Italy
| | - Rodolfo Sardone
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy
| | - Gianluigi Giannelli
- Scientific Direction, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy
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Mühlenbruch K, Menzel J, Dörr M, Ittermann T, Meisinger C, Peters A, Kluttig A, Medenwald D, Bergmann M, Boeing H, Schulze MB, Weikert C. Association of familial history of diabetes or myocardial infarction and stroke with risk of cardiovascular diseases in four German cohorts. Sci Rep 2020; 10:15373. [PMID: 32958955 PMCID: PMC7505832 DOI: 10.1038/s41598-020-72361-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Accepted: 08/25/2020] [Indexed: 12/12/2022] Open
Abstract
Since family history of diabetes is a very strong risk factor for type 2 diabetes, which is one of the most important risk factors for cardiovascular disease (CVD), it might be also useful to assess the risk for CVD. Therefore, we aimed to investigate the relationship between a familial (parents and siblings) history of diabetes and the risk of incident CVD. Data from four prospective German cohort studies were used: EPIC-Potsdam study (n = 26,054), CARLA study (n = 1,079), SHIP study (n = 3,974), and KORA study (n = 15,777). A multivariable-adjusted Cox regression was performed to estimate associations between familial histories of diabetes, myocardial infarction or stroke and the risk of CVD in each cohort; combined hazard ratios (HRMeta) were derived by conducting a meta-analysis. The history of diabetes in first-degree relatives was not related to the development of CVD (HRMeta 0.99; 95% CI 0.88–1.10). Results were similar for the single outcomes myocardial infarction (MI) (HRMeta 1.07; 95% CI 0.92–1.23) and stroke (HRMeta 1.00; 95% CI 0.86–1.16). In contrast, parental history of MI and stroke were associated with an increased CVD risk. Our study indicates that diabetes in the family might not be a relevant risk factor for the incidence of CVD. However, the study confirmed the relationship between a parental history of MI or stroke and the onset of CVD.
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Affiliation(s)
- Kristin Mühlenbruch
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Juliane Menzel
- Department of Food Safety, German Federal Institute for Risk Assessment, Max-Dohrn-Str. 8-10, Berlin, Germany
| | - Marcus Dörr
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany.,German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
| | - Till Ittermann
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany.,German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
| | - Christa Meisinger
- Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,Chair of Epidemiology, Ludwig-Maximilians-Universität München, UNIKA-T Augsburg, Augsburg, Germany
| | - Annette Peters
- German Center for Diabetes Research (DZD), Neuherberg, Germany.,Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,Chair of Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany.,German Centre for Cardiovascular Research (DZHK), Partner Site Munich, Neuherberg, Germany
| | - Alexander Kluttig
- Institute of Medical Epidemiology, Biostatistics and Informatics, Interdisciplinary Center for Health Sciences, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Daniel Medenwald
- Institute of Medical Epidemiology, Biostatistics and Informatics, Interdisciplinary Center for Health Sciences, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany.,Department of Radiation Oncology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Manuela Bergmann
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany.,Institute of Nutritional Sciences, University of Potsdam, Nuthetal, Germany
| | - Cornelia Weikert
- Department of Food Safety, German Federal Institute for Risk Assessment, Max-Dohrn-Str. 8-10, Berlin, Germany.
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Berentzen NE, Wijga AH, van Rossem L, Koppelman GH, van Nieuwenhuizen B, Gehring U, Spijkerman AMW, Smit HA. Family history of myocardial infarction, stroke and diabetes and cardiometabolic markers in children. Diabetologia 2016; 59:1666-74. [PMID: 27239670 DOI: 10.1007/s00125-016-3988-2] [Citation(s) in RCA: 6] [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: 12/08/2015] [Accepted: 04/22/2016] [Indexed: 01/15/2023]
Abstract
AIMS/HYPOTHESIS Despite the overlap in occurrence of cardiovascular disease (CVD) and type 2 diabetes and their risk factors, family history of these diseases has not yet been investigated simultaneously in relation to cardiometabolic markers in offspring. We examined how a family history of CVD and/or diabetes relates to cardiometabolic markers in offspring, and to what extent these diseases independently contribute to cardiometabolic markers. METHODS We used data from 1,374 12-year-old children and their parents participating in a birth cohort study in the Netherlands. Family history of CVD (myocardial infarction [MI] and stroke) and diabetes were reported by the parents. Children were classified as 'no', 'moderate' or 'strong' family history, based on early/late onset of disease in parents and grandparents. Cardiometabolic markers were measured at 12 years of age: waist circumference, cholesterol, blood pressure and HbA1c. RESULTS Compared with those with no family history, children with a strong family history of MI and/or stroke and/or diabetes (29% of the study population) had 0.13 mmol/l higher total cholesterol (TC) (95% CI 0.03, 0.23) and 0.18 higher TC/HDL-cholesterol (HDLC) ratio (95% CI 0.04, 0.32). A strong family history of MI or diabetes was independently associated with unfavourable cardiometabolic markers specific to those diseases. These associations remained after adjusting for BMI. Children with a moderate family history had no unfavourable cardiometabolic markers. CONCLUSIONS/INTERPRETATION One-third of the children had a strong family history of CVD and/or diabetes. These children had higher TC levels and TC/HDLC ratios than children with no family history. A strong family history of MI or diabetes was independently associated with unfavourable cardiometabolic markers specific to those diseases.
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Affiliation(s)
- Nina E Berentzen
- Center for Nutrition, Prevention, and Health Services, National Institute for Public Health and the Environment, PO Box 1, 3720 BA, Bilthoven, the Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Alet H Wijga
- Center for Nutrition, Prevention, and Health Services, National Institute for Public Health and the Environment, PO Box 1, 3720 BA, Bilthoven, the Netherlands.
| | - Lenie van Rossem
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Gerard H Koppelman
- University of Groningen, UMCG, Department of Pediatric Pulmonology and Pediatric Allergology, Beatrix Children's Hospital, GRIAC Research Institute, Groningen, the Netherlands
| | - Bo van Nieuwenhuizen
- Center for Nutrition, Prevention, and Health Services, National Institute for Public Health and the Environment, PO Box 1, 3720 BA, Bilthoven, the Netherlands
| | - Ulrike Gehring
- Institute for Risk Assessment Sciences (IRAS), Division of Environmental Epidemiology, Utrecht University, Utrecht, the Netherlands
| | - Annemieke M W Spijkerman
- Center for Nutrition, Prevention, and Health Services, National Institute for Public Health and the Environment, PO Box 1, 3720 BA, Bilthoven, the Netherlands
| | - Henriëtte A Smit
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
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Law JR, Stafford JM, D'Agostino RB, Badaru A, Crume TL, Dabelea D, Dolan LM, Lawrence JM, Pettitt DJ, Mayer-Davis EJ. Association of parental history of diabetes with cardiovascular disease risk factors in children with type 2 diabetes. J Diabetes Complications 2015; 29:534-9. [PMID: 25784087 PMCID: PMC4414789 DOI: 10.1016/j.jdiacomp.2015.02.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2014] [Revised: 02/02/2015] [Accepted: 02/03/2015] [Indexed: 12/01/2022]
Abstract
AIMS Determine if parental diabetes (DM) is associated with unhealthier cardiovascular disease (CVD) risk profiles in youth with type 2 diabetes (T2D), and whether associations differed by race/ethnicity. METHODS Family history was available for 382 youth with T2D from 2001 prevalent and 2002-2005 incident SEARCH for Diabetes in Youth cohorts. Parental DM was evaluated in two ways: two-category-any parent vs. no parent DM (evaluated overall and stratified by race/ethnicity); and four-category-both parents, mother only, father only, or no parent DM (evaluated overall only). Associations with hemoglobin A1c (HbA1c), fasting lipids, blood pressure (BP), and urine albumin:creatinine ratio (ACR) were examined using regression models. RESULTS Overall, sample characteristics included: 35.9% male, 19.1% non-Hispanic white (NHW), mean T2D duration 26.6±22.2months, mean HbA1c 7.9%±2.5% (62.6±27.8mmol/mol). Unadjusted two-category comparisons showed that youth with parental DM had higher HbA1c, higher DBP, and higher frequency of elevated ACR. Adjusted two-category comparisons showed associations remaining in non-stratified analysis for ACR [OR (95% CI)=2.3 (1.1, 5.0)] and in NHW youth for HbA1c [6.8%±0.4 vs. 8.0±0.4 (51.1±4.8 vs. 63.9±4.2mmol/mol), p=.015], DBP (67.7%±4.5 vs. 76.9±4.4mm Hg, p=.014) and lnTG (4.7±0.3 vs. 5.3±0.3, p=.008). There were no significant findings in the adjusted four-category evaluation. CONCLUSIONS Parental history of diabetes may be associated with unhealthier CVD risk factors in youth with T2D.
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Affiliation(s)
- Jennifer R Law
- Department of Pediatrics and Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Jeanette M Stafford
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Ralph B D'Agostino
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Angela Badaru
- Division of Pediatric Endocrinology and Diabetes, Stanford University, Stanford, CA, USA
| | - Tessa L Crume
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Aurora, CO, USA
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Aurora, CO, USA
| | - Lawrence M Dolan
- Division of Endocrinology, Cincinnati Children's Hospital and Medical Center, Cincinnati, OH, USA
| | - Jean M Lawrence
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | | | - Elizabeth J Mayer-Davis
- Department of Pediatrics and Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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9
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Tagore S, De RK. Simulating an infection growth model in certain healthy metabolic pathways of Homo sapiens for highlighting their role in Type I Diabetes mellitus using fire-spread strategy, feedbacks and sensitivities. PLoS One 2013; 8:e69724. [PMID: 24039701 PMCID: PMC3767837 DOI: 10.1371/journal.pone.0069724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2013] [Accepted: 06/12/2013] [Indexed: 11/18/2022] Open
Abstract
Disease Systems Biology is an area of life sciences, which is not very well understood to date. Analyzing infections and their spread in healthy metabolite networks can be one of the focussed areas in this regard. We have proposed a theory based on the classical forest fire model for analyzing the path of infection spread in healthy metabolic pathways. The theory suggests that when fire erupts in a forest, it spreads, and the surrounding trees also catch fire. Similarly, when we consider a metabolic network, the infection caused in the metabolites of the network spreads like a fire. We have constructed a simulation model which is used to study the infection caused in the metabolic networks from the start of infection, to spread and ultimately combating it. For implementation, we have used two approaches, first, based on quantitative strategies using ordinary differential equations and second, using graph-theory based properties. Furthermore, we are using certain probabilistic scores to complete this task and for interpreting the harm caused in the network, given by a 'critical value' to check whether the infection can be cured or not. We have tested our simulation model on metabolic pathways involved in Type I Diabetes mellitus in Homo sapiens. For validating our results biologically, we have used sensitivity analysis, both local and global, as well as for identifying the role of feedbacks in spreading infection in metabolic pathways. Moreover, information in literature has also been used to validate the results. The metabolic network datasets have been collected from the Kyoto Encyclopedia of Genes and Genomes (KEGG).
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Affiliation(s)
- Somnath Tagore
- Department of Biotechnology and Bioinformatics, Padmashree Dr. D. Y. Patil University, Navi Mumbai, India
| | - Rajat K. De
- Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India
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