1
|
Ellison KM, Wyatt HR, Hill JO, Sayer RD. Should carbohydrate-modified diets be the first option for weight loss in people with impaired glucose metabolism? A scoping review. Obes Rev 2024; 25:e13706. [PMID: 38355200 DOI: 10.1111/obr.13706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 01/08/2024] [Accepted: 01/13/2024] [Indexed: 02/16/2024]
Abstract
While the "precision nutrition" movement is at an early stage of development, several investigations have compared low-fat versus carbohydrate (CHO)-modified diets (i.e., low-or-reduced-CHO, low glycemic index/load diets, and high-fiber) in people with normal versus impaired glucose metabolism. The purpose of this scoping review was to summarize evidence in support of the hypothesis that CHO-modified diets are more effective for weight loss among people with impaired glucose metabolism. Fifteen articles were included in this review: seven retrospective analyses of randomized clinical trials and eight prospective randomized clinical trials with prespecified hypotheses related to a diet (low-fat vs. CHO-modified) × phenotype (normal vs. impaired) interaction. Evidence in support of the hypothesis was identified in six of seven retrospective and three of eight prospective studies, which led to a recommendation of CHO-modified diets as a first-line option for people with impaired glucose metabolism. However, the evidence in support of this recommendation is relatively weak, and dietary prescriptions should consider additional contextual information that may influence overall dietary adherence. Additional and rigorous research using innovative randomized experimental approaches is needed for stronger dietary weight loss recommendations based on pretreatment glycemic status.
Collapse
Affiliation(s)
- Katie M Ellison
- Department of Nutrition Sciences, The University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Holly R Wyatt
- Department of Nutrition Sciences, The University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - James O Hill
- Department of Nutrition Sciences, The University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - R Drew Sayer
- Department of Family and Community Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, USA
| |
Collapse
|
2
|
Deschênes SS, Nearchou F, McInerney A, Schmitz N, Pouwer F, Nouwen A. Childhood maltreatment and the risk of impaired glucose metabolism or type 2 diabetes in young adults: Findings from the Lifelines Cohort Study. J Health Psychol 2024:13591053241243285. [PMID: 38600690 DOI: 10.1177/13591053241243285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/12/2024] Open
Abstract
We examined the associations between childhood maltreatment and the risk of impaired glucose metabolism (IGM) or type 2 diabetes (T2D) in young adults aged 18-35. Participants (N = 8506) from the Lifelines Cohort Study without IGM or diabetes at baseline (2007-2013) were included. Childhood maltreatment was assessed by the Childhood Trauma Questionnaire (CTQ) and incident IGM/T2D was assessed by haemoglobin A1c levels (≥5.7%) in 2014-2017. There were 223 (2.6%) cases of IGM/T2D during the follow-up period. After adjusting for sociodemographic and health/lifestyle covariates and follow-up time, only the CTQ Sexual Abuse subscale was significantly associated with IGM/T2D (RR = 1.05 [95% CI = 1.01, 1.10]). The association remained when additionally accounting for depressive and anxiety symptoms (RR = 1.05 [95% CI = 1.00, 1.09]). Childhood sexual abuse was associated with an increased risk of IGM/T2D in young adults, highlighting the long-term metabolic consequences of childhood maltreatment.
Collapse
Affiliation(s)
| | | | | | | | - Frans Pouwer
- University of Southern Denmark, Denmark
- Steno Diabetes Center Odense, Denmark
- Vrije Universiteit Amsterdam, The Netherlands
| | | |
Collapse
|
3
|
Madetko-Alster N, Otto-Ślusarczyk D, Struga M, Kutyłowski M, Drzewińska A, Duszyńska-Wąs K, Migda B, Alster P. Glucose Metabolism and Cognitive Decline in Progressive Supranuclear Palsy and Corticobasal Syndrome: A Preliminary Study. J Clin Med 2024; 13:465. [PMID: 38256599 PMCID: PMC10816752 DOI: 10.3390/jcm13020465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 12/31/2023] [Accepted: 01/09/2024] [Indexed: 01/24/2024] Open
Abstract
Multiple studies have analyzed the possible correlations between diabetes and Alzheimer's disease. Less is known about the context of cognitive deterioration among patients with atypical Parkinsonian syndromes and glucose metabolism impairment. The aim of this study was to evaluate the association between the impaired glucose metabolism and cognitive decline among patients with progressive supranuclear palsy (PSP) and corticobasal syndrome (CBS). The study included 22 patients with PSP and CBS with disease durations varying from 3 to 6 years. The levels of glycated hemoglobin (HbA1C), fasting blood glucose, fasting C-peptide and the presence of microalbuminuria were evaluated, and oral glucose tolerance tests (OGTT) were performed. Based on the OGTT results, the glycemic variability, mean glycemia, glycemia standard deviation (SD) and coefficient of variation (%CV) were calculated. All patients underwent a three-Tesla brain magnetic resonance (MRI) examination and neuropsychological cognitive assessment with the use of standardized scales: Montreal Cognitive Assessment (MoCA), Mini-Mental State Examination (MMSE) and Frontal Assessment Battery (FAB). A statistical analysis revealed that poor control of glycemia with high glycemic variability and increased atrophy of the medial temporal lobe among patients with PSP and CBS correlated with worse cognitive performance independent of age or sex, even among patients who did not fulfill the criteria for diabetes. The study results indicate the importance of glucose metabolism control and optimal treatment in the context of cognition maintenance among patients with PSP and CBS. Due to the relatively small number of analyzed patients, the issue requires further assessment. To the best of our knowledge, this is the first study discussing the role of glycemic variability in atypical Parkinsonian syndromes.
Collapse
Affiliation(s)
- Natalia Madetko-Alster
- Department of Neurology, Medical University of Warsaw, Kondratowicza 8, 03-242 Warsaw, Poland;
| | - Dagmara Otto-Ślusarczyk
- Department of Biochemistry, Medical University of Warsaw, Banacha 1, 02-097 Warsaw, Poland; (D.O.-Ś.); (M.S.)
| | - Marta Struga
- Department of Biochemistry, Medical University of Warsaw, Banacha 1, 02-097 Warsaw, Poland; (D.O.-Ś.); (M.S.)
| | - Michał Kutyłowski
- Department of Radiology, Mazovian Brodno Hospital, Kondratowicza 8, 03-242 Warsaw, Poland;
| | - Agnieszka Drzewińska
- Department of Neurology, Mazovian Brodno Hospital, Kondratowicza 8, 03-242 Warsaw, Poland; (A.D.); (K.D.-W.)
| | - Karolina Duszyńska-Wąs
- Department of Neurology, Mazovian Brodno Hospital, Kondratowicza 8, 03-242 Warsaw, Poland; (A.D.); (K.D.-W.)
| | - Bartosz Migda
- Diagnostic Ultrasound Lab, Department of Pediatric Radiology, Medical University of Warsaw, 02-091 Warsaw, Poland;
| | - Piotr Alster
- Department of Neurology, Medical University of Warsaw, Kondratowicza 8, 03-242 Warsaw, Poland;
| |
Collapse
|
4
|
Lee DY, Cho YH, Kim M, Jeong CW, Cha JM, Won GH, Noh JS, Son SJ, Park RW. Association between impaired glucose metabolism and long-term prognosis at the time of diagnosis of depression: Impaired glucose metabolism as a promising biomarker proposed through a machine-learning approach. Eur Psychiatry 2023; 66:e21. [PMID: 36734114 PMCID: PMC9970146 DOI: 10.1192/j.eurpsy.2023.10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Predicting the course of depression is necessary for personalized treatment. Impaired glucose metabolism (IGM) was introduced as a promising depression biomarker, but no consensus was made. This study aimed to predict IGM at the time of depression diagnosis and examine the relationship between long-term prognosis and predicted results. METHODS Clinical data were extracted from four electronic health records in South Korea. The study population included patients with depression, and the outcome was IGM within 1 year. One database was used to develop the model using three algorithms. External validation was performed using the best algorithm across the three databases. The area under the curve (AUC) was calculated to determine the model's performance. Kaplan-Meier and Cox survival analyses of the risk of hospitalization for depression as the long-term outcome were performed. A meta-analysis of the long-term outcome was performed across the four databases. RESULTS A prediction model was developed using the data of 3,668 people, with an AUC of 0.781 with least absolute shrinkage and selection operator (LASSO) logistic regression. In the external validation, the AUCs were 0.643, 0.610, and 0.515. Through the predicted results, survival analysis and meta-analysis were performed; the hazard ratios of risk of hospitalization for depression in patients predicted to have IGM was 1.20 (95% confidence interval [CI] 1.02-1.41, p = 0.027) at a 3-year follow-up. CONCLUSIONS We developed prediction models for IGM occurrence within a year. The predicted results were related to the long-term prognosis of depression, presenting as a promising IGM biomarker related to the prognosis of depression.
Collapse
Affiliation(s)
- Dong Yun Lee
- Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea
| | - Yong Hyuk Cho
- Department of Psychiatry, Ajou University School of Medicine, Suwon, Korea.,Department of Medical Sciences, Graduate School of Ajou University, Suwon, South Korea
| | | | - Chang-Won Jeong
- Medical Convergence Research Center, Wonkwang University, Iksan, Korea
| | - Jae Myung Cha
- Department of Gastroenterology, Gang Dong Kyung Hee University Hospital, Seoul, Korea
| | - Geun Hui Won
- Department of Psychiatry, Catholic University of Daegu School of Medicine, Daegu, Korea
| | - Jai Sung Noh
- Department of Psychiatry, Ajou University School of Medicine, Suwon, Korea
| | - Sang Joon Son
- Department of Psychiatry, Ajou University School of Medicine, Suwon, Korea
| | - Rae Woong Park
- Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea
| |
Collapse
|
5
|
Barak O, Yoles I, Wainstock T, Gadassi N, Schiller T, Vaisbuch E. The association between an oral glucose tolerance test performed at term pregnancy and obstetric outcomes. Obstet Med 2022; 15:185-189. [PMID: 36262815 PMCID: PMC9574452 DOI: 10.1177/1753495x211055634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Accepted: 10/07/2021] [Indexed: 09/03/2023] Open
Abstract
Aims Assessing the value of oral glucose tolerance test performed at term pregnancy in identifying obstetric complications. Methods Retrospective cohort study of women with a normal 50 g glucose challenge test who also had an oral glucose tolerance test at term (defined as at or after 37 weeks of gestation). Comparison between the pathological and normal oral glucose tolerance test groups was performed. Results The mean glucose in the glucose challenge test of women in the normal oral glucose tolerance test (n = 256) group was lower than that in the pathological oral glucose tolerance test (N = 16) group (105 ± 17 mg/dl (5.8 ± 0.9 mmol/l) vs 117 ± 13 mg/dl (6.5 ± 0.7 mmol/l), p = 0.007). Relevant obstetrical complications did not differ significantly between the groups. Of note, in the pathological oral glucose tolerance test group only one woman delivered a macrosomic infant. Conclusions A pathological oral glucose tolerance test performed at term was unable to identify women at risk for impaired glucose metabolism-related obstetric complications and is therefore of limited clinical value and seems to be unjustified.
Collapse
Affiliation(s)
- Oren Barak
- Department of Obstetrics and Gynecology, Kaplan Medical Center, Israel
- Faculty of Medicine, Hebrew University of Jeruslem, Israel
| | - Israel Yoles
- Clalit Health Services, the Central District, Israel
| | | | - Noa Gadassi
- Faculty of Medicine, Hebrew University of Jeruslem, Israel
- Department of Neonatology, Kaplan Medical Center, Israel
| | - Tal Schiller
- Faculty of Medicine, Hebrew University of Jeruslem, Israel
- Diabetes, Endocrinology and Metabolism, Kaplan Medical Center, Israel
| | - Edi Vaisbuch
- Department of Obstetrics and Gynecology, Kaplan Medical Center, Israel
- Faculty of Medicine, Hebrew University of Jeruslem, Israel
| |
Collapse
|
6
|
Askani E, Rospleszcz S, Lorbeer R, Kulka C, von Krüchten R, Müller-Peltzer K, Hasic D, Kellner E, Reisert M, Rathmann W, Peters A, Schlett CL, Bamberg F, Storz C. Association of MRI-based adrenal gland volume and impaired glucose metabolism in a population-based cohort study. Diabetes Metab Res Rev 2022; 38:e3528. [PMID: 35303389 DOI: 10.1002/dmrr.3528] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2021] [Revised: 01/15/2022] [Accepted: 01/26/2022] [Indexed: 11/11/2022]
Abstract
OBJECTIVES The aim of this study was to assess adrenal gland volume by using magnetic resonance imaging (MRI) and to study its role as an indirect marker of impaired glucose metabolism and hypothalamic-pituitary-adrenal (HPA) axis activation in a population-based cohort. METHODS Asymptomatic participants were enrolled in a nested case-control study and underwent a 3-T MRI, including T1w-VIBE-Dixon sequences. For the assessment of adrenal gland volume, adrenal glands were manually segmented in a blinded fashion. Impaired glucose metabolism was determined using fasting glucose and oral glucose tolerance test. Cardiometabolic risk factors were also obtained. Inter- and intrareader reliability as well as univariate and multivariate associations were derived. RESULTS Among 375 subjects included in the analysis (58.5% male, 56.1 ± 9.1 years), 25.3% participants had prediabetes and 13.6% had type 2 diabetes (T2DM). Total adrenal gland volume was 11.2 ± 4.2 ml and differed significantly between impaired glucose metabolism and healthy controls with largest total adrenal gland volume in T2DM (healthy controls: 10.0 ± 3.9 ml, prediabetes: 12.5 ± 3.8 ml, T2DM: 13.9 ± 4.6 ml; p < 0.001). In the multivariate analysis, association of T2DM and increased adrenal gland volume was independent of age, sex, hypertension, triglycerides and body mass index (BMI), but was attenuated in subjects with prediabetes after adjustment for BMI. CONCLUSIONS T2DM is significantly associated with increased adrenal gland volume by MRI in an asymptomatic cohort, independent of age, sex, dyslipidaemia, hypertension and BMI. Adrenal gland volume may represent an indirect marker of impaired glucose metabolism and HPA axis dysfunction.
Collapse
Affiliation(s)
- Esther Askani
- Department of Diagnostic and Interventional Radiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Susanne Rospleszcz
- Department of Epidemiology, Institute for Medical Information Processing, Biometry, and Epidemiology, Ludwig-Maximilians-University Munich, Munich, Germany
- Institute of Epidemiology, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany
| | - Roberto Lorbeer
- Department of Radiology, Ludwig-Maximilans-University Hospital, Munich, Germany
| | - Charlotte Kulka
- Department of Diagnostic and Interventional Radiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Ricarda von Krüchten
- Department of Diagnostic and Interventional Radiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Katharina Müller-Peltzer
- Department of Diagnostic and Interventional Radiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Dunja Hasic
- Department of Diagnostic and Interventional Radiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Elias Kellner
- Medical Physics, Department of Radiology, Medical Center - University of Freiburg, Freiburg, Germany
| | - Marco Reisert
- Medical Physics, Department of Radiology, Medical Center - University of Freiburg, Freiburg, Germany
| | - Wolfgang Rathmann
- Institute of Biometrics and Epidemiology, German Diabetes Center, Duesseldorf, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Annette Peters
- Department of Epidemiology, Institute for Medical Information Processing, Biometry, and Epidemiology, Ludwig-Maximilians-University Munich, Munich, Germany
- Institute of Epidemiology, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- German Center for Cardiovascular Disease Research (DZHK e.V.), Munich, Germany
| | - Christopher L Schlett
- Department of Diagnostic and Interventional Radiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Fabian Bamberg
- Department of Diagnostic and Interventional Radiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Corinna Storz
- Department of Neuroradiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany
| |
Collapse
|
7
|
Jia Y, Liu W, Bai D, Zhang Y, Li Y, Liu Y, Yin J, Chen Q, Ye M, Zhao Y, Kou X, Wang H, Gao S, Li K, Chen M. Melatonin supplementation in the culture medium rescues impaired glucose metabolism in IVF mice offspring. J Pineal Res 2022; 72:e12778. [PMID: 34726796 DOI: 10.1111/jpi.12778] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 10/29/2021] [Accepted: 10/30/2021] [Indexed: 11/29/2022]
Abstract
Increasing evidence suggests that in vitro fertilization (IVF) may be associated with an increased risk of developing obesity and metabolic diseases later in life in the offspring. Notably, the addition of melatonin to culture medium may improve embryo development and prevent cardiovascular dysfunction in IVF adult mice. This study aimed to determine if melatonin supplementation in the culture medium can reverse impaired glucose metabolism in IVF mice offspring and the underlying mechanisms. Blastocysts used for transfer were generated by natural mating (control group) or IVF with or without melatonin (10-6 M) supplementation (mIVF and IVF group, respectively) in clinical-grade culture media. Here, we first report that IVF decreased hepatic expression of Fbxl7, which was associated with impaired glucose metabolism in mice offspring. Melatonin addition reversed the phenotype by up-regulating the expression of hepatic Fbxl7. In vitro experiments showed that Fbxl7 enhanced the insulin signaling pathway by degrading RhoA through ubiquitination and was up-regulated by transcription factor Foxa2. Specific knockout of Fbxl7 in the liver of adult mice, through tail intravenous injection of recombinant adeno-associated virus, impaired glucose tolerance, while overexpression of hepatic Fbxl7 significantly improved glucose tolerance in adult IVF mice. Thus, the data suggest that Fbxl7 plays an important role in maintaining glucose metabolism of mice, and melatonin supplementation in the culture medium may rescue the long-term risk of metabolic diseases in IVF offspring.
Collapse
Affiliation(s)
- Yanping Jia
- Centre for Assisted Reproduction, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Wenqiang Liu
- Centre for Assisted Reproduction, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
- Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Dandan Bai
- Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Yalin Zhang
- Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Yanhe Li
- Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Yingdong Liu
- Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Jiqing Yin
- Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Qiaoyu Chen
- Centre for Assisted Reproduction, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Mingming Ye
- Centre for Assisted Reproduction, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yanhong Zhao
- Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Xiaochen Kou
- Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Hong Wang
- Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Shaorong Gao
- Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Kunming Li
- Centre for Assisted Reproduction, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Miaoxin Chen
- Centre for Assisted Reproduction, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
| |
Collapse
|
8
|
Pitchika A, Kühn JP, Schipf S, Nauck M, Dörr M, Lerch MM, Kromrey ML, Felix SB, Markus MRP, Rathmann W, Völzke H, Ittermann T. Hepatic steatosis and hepatic iron overload modify the association of iron markers with glucose metabolism disorders and metabolic syndrome. Liver Int 2021; 41:1841-1852. [PMID: 33683798 DOI: 10.1111/liv.14868] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 02/16/2021] [Accepted: 03/04/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND Iron status has been linked with impaired glucose metabolism (IGM), type 2 diabetes mellitus (T2DM) and the metabolic syndrome (MetS), but the role of hepatic steatosis or iron overload on these associations remains uncertain. METHODS We analysed data from 2310 participants without known T2DM of the population-based Study of Health in Pomerania (SHIP-TREND, Germany) through logistic regression models. We tested additive and multiplicative interactions between ferritin and hepatic steatosis or iron overload. RESULTS Serum ferritin was positively associated with IGM (OR per 100 µg/L: 1.11 [1.01, 1.23]), T2DM (OR per 100 µg/L: 1.20 [1.06, 1.36]) and MetS (OR per 100 µg/L: 1.11 [1.02, 1.20]) in the total population as well as in participants without hepatic iron overload. However, the synergistic effect of higher ferritin concentrations and hepatic iron overload showed stronger associations with IGM and T2DM. Similarly, while ferritin was positively associated with T2DM and MetS even in the absence of hepatic steatosis, the synergistic effect of higher ferritin concentrations and hepatic steatosis showed stronger associations with IGM, T2DM and MetS. Transferrin was associated with isolated impaired glucose tolerance but not with T2DM and MetS. CONCLUSIONS Our study suggests that ferritin may be associated with glucose metabolism disorders and MetS even in people without hepatic steatosis or iron overload. However, in individuals with higher ferritin concentrations, the presence of hepatic steatosis may indicate stronger risk for glucose metabolism disorders and MetS, while the presence of hepatic iron overload may indicate stronger risk only for glucose metabolism disorders.
Collapse
Affiliation(s)
- Anitha Pitchika
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Jens-Peter Kühn
- Institute and Policlinic for Diagnostic and Interventional Radiology, University Hospital, Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - Sabine Schipf
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.,Department of Medicine A, University Medicine Greifswald, Greifswald, Germany
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany.,German Center for Cardiovascular Research (DZHK e.V.), Partner site Greifswald, Greifswald, Germany
| | - Marcus Dörr
- German Center for Cardiovascular Research (DZHK e.V.), Partner site Greifswald, Greifswald, Germany.,Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | - Markus M Lerch
- Department of Medicine A, University Medicine Greifswald, Greifswald, Germany
| | - Marie-Luise Kromrey
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Stephan B Felix
- German Center for Cardiovascular Research (DZHK e.V.), Partner site Greifswald, Greifswald, Germany.,Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | - Marcello R P Markus
- German Center for Cardiovascular Research (DZHK e.V.), Partner site Greifswald, Greifswald, Germany.,Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany.,DZD (German Center for Diabetes Research), Site Greifswald, Greifswald, Germany
| | - Wolfgang Rathmann
- DZD (German Center for Diabetes Research), Site Greifswald, Greifswald, Germany.,Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, German Diabetes Center (DDZ), Institute for Biometrics and Epidemiology, Düsseldorf, Germany
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.,German Center for Cardiovascular Research (DZHK e.V.), Partner site Greifswald, Greifswald, Germany.,DZD (German Center for Diabetes Research), Site Greifswald, Greifswald, Germany
| | - Till Ittermann
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| |
Collapse
|
9
|
Ding M, Liu Y, Yang Y, Ye Y, Li L, Huang J, Chen X, Yang D, Zhao X. The Cutoff Value of Low Sex Hormone-Binding Globulin and Its Predictive Role in Impaired Glucose Metabolism Among Chinese Women with Polycystic Ovarian Syndrome. Metab Syndr Relat Disord 2021; 19:378-385. [PMID: 33945333 DOI: 10.1089/met.2020.0071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Background: Low levels of sex hormone-binding globulin (SHBG) is a potential predictor of type 2 diabetes mellitus (T2DM), and when combined with insulin resistance (IR), lead to impaired glucose metabolism. Few studies involve women with polycystic ovarian syndrome (PCOS). Studies on cutoff values of SHBG among Asian women were scanty. Methods: The cutoff level of SHBG was computed using the 25th percentile method. Parameters were compared between the lower and higher SHBG subgroup. Area under the curve (AUC) for sensitivity and specificity of SHBG in predicting IR and impaired glucose metabolism was calculated. Results: This study included 733 patients with PCOS 20-45 years of age and 469 age-matched controls. The 25th percentile of SHBG in the control group was 51.90 nM. There were negative correlations between SHBG and age (r = -0.085, P < 0.05), body mass index (BMI) (r = -0.461, P < 0.01), waist-to-hip ratio (WHR) (r = -0.349, P < 0.01), fasting plasma glucose (r = -0.242, P < 0.01), Glucose-1h (r = -0.303, P < 0.01), Glucose-2h (r = -0.336, P < 0.01), fasting insulin (r = -0.324, P < 0.01), Insulin-1h (r = -0.238, P < 0.01), Insulin-2h (r = -0.307, P < 0.01), and homeostasis model 2 assessment of insulin resistance (HOMA2-IR) (r = -0.329, P < 0.01). Age, BMI, WHR, glucose and insulin levels (both pre- and postload), HOMA2-IR, free testosterone, and dehydroepiandrosterone sulfate were all higher in the lower than the higher SHBG subgroup. The AUC of SHBG for predicting IR was 0.706 [95% confidence interval (CI) 0.665-0.745, P < 0.001], impaired fasting glucose was 0.674 (95% CI 0.513-0.838, P < 0.001), impaired glucose tolerance was 0.637 (95% CI 0.586-0.690, P < 0.001), and T2DM was 0.674 (95% CI 0.556-0.780, P < 0.001). Conclusions: A 51.90 nM should be identified as the cutoff value of SHBG. Women with PCOS with lower SHBG values have a higher risk of developing impaired glucose metabolism. Low SHBG should be a predictive biomarker of impaired glucose metabolism in women with PCOS in southern China.
Collapse
Affiliation(s)
- Miao Ding
- Department of Obstetrics and Gynecology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China
| | - Yong Liu
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.,Hematologic Laboratory of Pediatrics, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China
| | - Yabo Yang
- Department of Obstetrics and Gynecology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China
| | - Yang Ye
- Department of Obstetrics and Gynecology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China
| | - Lin Li
- Department of Obstetrics and Gynecology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China
| | - Jia Huang
- Department of Obstetrics and Gynecology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China
| | - Xiaoli Chen
- Department of Obstetrics and Gynecology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China
| | - Dongzi Yang
- Department of Obstetrics and Gynecology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China
| | - Xiaomiao Zhao
- Department of Obstetrics and Gynecology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China
| |
Collapse
|
10
|
Nanri A, Takazaki A, Kochi T, Eguchi M, Kabe I, Mizoue T. Fish Cooking Methods and Impaired Glucose Metabolism Among Japanese Workers: The Furukawa Nutrition and Health Study. Nutrients 2020; 12:E1775. [PMID: 32545918 DOI: 10.3390/nu12061775] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Revised: 06/12/2020] [Accepted: 06/12/2020] [Indexed: 01/02/2023] Open
Abstract
The aim of this study was to examine the cross-sectional association between fish and shellfish intake and impaired glucose metabolism with consideration for cooking methods in a Japanese working population. Participants were 1774 workers aged 18-69 years. Dietary intake was assessed using a validated self-administered diet history questionnaire. Participants were asked about their most frequently used cooking method for fish, and the method was classified as either "raw and stewing" or "broiling, deep-frying, and stir-frying". Impaired glucose metabolism was defined by a history of diabetes, current use of anti-diabetic drugs, fasting blood glucose ≥110 mg/dl, or HbA1c ≥6.0%. Logistic regression analysis was used to estimate the odds ratios of impaired glucose metabolism for fish intake by cooking method. Fish intake was not associated with impaired glucose metabolism in either group. When the outcome was defined as diabetes, the odds of diabetes increased with fish intake among participants who most frequently used broiling, deep-frying, or stir-frying methods, albeit they were not statistically significant; the multivariable-adjusted odds ratio for the highest versus the lowest tertiles of fish intake was 1.95 (95%CI, 0.71-5.41). Cooking methods for fish may not modify the association between fish intake and impaired glucose metabolism among Japanese populations.
Collapse
|
11
|
Rossen J, Von Rosen P, Johansson UB, Brismar K, Hagströmer M. Associations of physical activity and sedentary behavior with cardiometabolic biomarkers in prediabetes and type 2 diabetes: a compositional data analysis. PHYSICIAN SPORTSMED 2020; 48:222-228. [PMID: 31663410 DOI: 10.1080/00913847.2019.1684811] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Objectives: To investigate the associations between objectively measured sedentary behavior (SB), light-intensity physical activity (LIPA) and moderate-to-vigorous physical activity (MVPA) and cardiometabolic and endocrine biomarkers, and to estimate the associations of reallocating time from one behavior to another with cardiometabolic and endocrine biomarkers.Methods: Baseline data from participants diagnosed with prediabetes or type 2 diabetes, n = 175, 58% men, mean (SD) age = 64.4 (7.7), recruited to a physical activity intervention was used. Time spent in SB, LIPA and MVPA was measured by accelerometer and transformed into isometric log-ratio coordinates. The associations between time spent in SB, LIPA and MVPA and biomarkers were examined by linear regression models. The change in each outcome of reallocating time between the three behaviors was estimated.Results: The findings show strong positive associations of time spent in MVPA and negative associations of time spent in SB relative to time spent in the other behaviors with sagittal abdominal diameter (SAD) and homeostasis model assessment for insulin resistance (HOMA-IR) and negative associations of time spent in SB with high-density lipoprotein (HDL) cholesterol. Theoretically, reallocation of 19 minutes MVPA to SB or to LIPA was associated with a 17% and 17% larger SAD, 39% and 36% larger HOMA-IR values and 3.3% and 2.3% lower levels of HDL, respectively.Conclusion: In conclusion, our analysis from a time-use perspective supports the current evidence that sedentary time is devastating for the cardiometabolic health. While LIPA probably requires more time, maintaining or increasing time in MVPA are the most important features of the time use behaviors when promoting a favorable cardiometabolic risk profile in adults with prediabetes and type 2 diabetes.Trial registration: ClinicalTrials.gov, NCT02374788. Registered 2 March 2015 - Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT02374788.
Collapse
Affiliation(s)
- Jenny Rossen
- Department of Health Promotion Science, Sophiahemmet University, Stockholm, Sweden
| | - Philip Von Rosen
- Department of Neurobiology, Care Sciences and Society, Division of Physiotherapy, Karolinska Institutet, Stockholm, Sweden
| | - Unn-Britt Johansson
- Department of Health Promotion Science, Sophiahemmet University, Stockholm, Sweden.,Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
| | - Kerstin Brismar
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Rolf Luft Research Center for Diabetes and Endocrinology, Karolinska University Hospital, Stockholm, Sweden
| | - Maria Hagströmer
- Department of Health Promotion Science, Sophiahemmet University, Stockholm, Sweden.,Department of Neurobiology, Care Sciences and Society, Division of Physiotherapy, Karolinska Institutet, Stockholm, Sweden.,Functional Area Occupational Therapy & Physiotherapy, Allied Health Professionals Function, Karolinska University Hospital, Stockholm, Sweden
| |
Collapse
|
12
|
Koutny F, Weghuber D, Bollow E, Greber‐Platzer S, Hartmann K, Körner A, Reinehr T, Roebl M, Simic‐Schleicher G, Wabitsch M, Widhalm K, Wiegand S, Holl RW. Prevalence of prediabetes and type 2 diabetes in children with obesity and increased transaminases in European German-speaking countries. Analysis of the APV initiative. Pediatr Obes 2020; 15:e12601. [PMID: 31810110 PMCID: PMC7079233 DOI: 10.1111/ijpo.12601] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2019] [Revised: 10/10/2019] [Accepted: 10/11/2019] [Indexed: 12/12/2022]
Abstract
BACKGROUND Non-alcoholic fatty liver disease (NAFLD), prediabetes and type 2 diabetes mellitus are known to be closely linked with obesity as early as during childhood. OBJECTIVES The study aimed to determine the prevalence of prediabetes and T2DM in children with obesity with or without increased transaminases. METHODS Data from the observational multicentre (n = 51), cross-sectional Adipositas Patienten Verlaufsbeobachtung registry were analyzed. Mild increase (mild group) was defined by alanine transaminase (ALT) >24 to ≤50 U/L and moderate to severe increase (advanced group) by ALT > 50 U/L. Prediabetes and T2DM were defined according to recent IDF/ISPAD guidelines. RESULTS The prevalence of prediabetes and T2DM was 11.9% (95% CI: 11.0-12.8) and 1.4% (95% CI: 1.1-1.7) among all participants (n = 4932; male = 2481; mean age 12.9 ± 2.7 years; BMI-SDS 2.1 ± 0.5; Tanner stage 3.2 ± 1.5). The prevalence of impaired glucose metabolism (prediabetes and T2DM) was 13.8% (95% CI: 12.1-15.4) in the mild, 21.9% (95% CI: 18.8-25.1) in the advanced group, 10.7% (95% CI: 9.4-11.9) in the control group. Mild and advanced groups had greater odds ratios for prediabetes [1.42; 95% CI: 1.17-1.72, 2.26-fold; (1.78-2.86), respectively], the advanced group also for T2DM [2.39 (1.36-4.21)] compared to controls. While an increase in transaminases predominantly affected boys, girls within the advanced group had a higher T2DM prevalence than males (5.4 vs. male 2.1%). CONCLUSIONS Children with obesity and increased liver transaminases as surrogates of NAFLD should be screened for T2DM.
Collapse
Affiliation(s)
- Florian Koutny
- Department of PediatricsParacelsus Private Medical SchoolSalzburgAustria,Obesity Research UnitParacelsus Private Medical SchoolSalzburgAustria
| | - Daniel Weghuber
- Department of PediatricsParacelsus Private Medical SchoolSalzburgAustria,Obesity Research UnitParacelsus Private Medical SchoolSalzburgAustria
| | - E. Bollow
- Institute of Epidemiology and Medical BiometryUniversity of Ulm, German Center for Diabetes ResearchUlmGermany
| | - S. Greber‐Platzer
- Department of Pediatrics and Adolescent MedicineMedical University of ViennaViennaAustria
| | - K. Hartmann
- Medical Centre of Childhood and AdolescenceFrankfurtGermany
| | - A. Körner
- Center for Pediatric Research, Department of Women and Child HealthUniversity Hospital for Children & Adolescents, University of LeipzigLeipzigGermany
| | - T. Reinehr
- Department of Pediatric Endocrinology, Diabetes and Nutrition Medicine, Vestische Hospital for Children and Adolescents DattelnUniversity of Witten/HerdeckeDattelnGermany
| | - M. Roebl
- Department of Pediatrics and Pediatric NeurologyUniversity Medical Center GöttingenGöttingenGermany
| | | | - M. Wabitsch
- Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics and Adolescent MedicineUniversity Medical Center UlmUlmGermany
| | - K. Widhalm
- Division of Nutrition and Metabolism, Department of PediatricsMedical University of ViennaViennaAustria
| | - S. Wiegand
- Department of Pediatric Endocrinology and Diabetes, Center for social‐pediatric careCharité Universitätsmedizin BerlinBerlinGermany
| | - R. W. Holl
- Institute of Epidemiology and Medical BiometryUniversity of Ulm, German Center for Diabetes ResearchUlmGermany
| |
Collapse
|
13
|
张 勇, 刘 畅, 陈 彬, 陈 帆, 段 晋, 张 孟, 焦 剑. [Associations of impaired glucose metabolism with chronic peridontitis in pre-diabetes patients]. Beijing Da Xue Xue Bao Yi Xue Ban 2020; 52:71-76. [PMID: 32071466 PMCID: PMC7439070 DOI: 10.19723/j.issn.1671-167x.2020.01.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 10/07/2018] [Indexed: 06/10/2023]
Abstract
OBJECTIVE To investigate the associations of impaired glucose metabolism and insulin resistance with chronic periodontitis in pre-diabetes patients. METHODS A cross-sectional analysis was conducted and we included a total of 171 pre-diabetes patients aged 30-65 years, free of diabetes. pre-diabetes was defined as impaired fasting glucose (IFG) [fasting glucose (FG): 6.1-7.0 mmol/L] and/or impaired glucose tolerance (IGT) [oral glucose tolerance test (OGTT): 7.8-11.0 mmol/L]. Chronic periodontitis was defined according to Centers for Disease Control and Prevention (CDC)/American Academy of Periodontology (AAP) definition and the patients were divided into mild, moderate, and severe chronic periodontitis groups [mild: at least two interproximal sites with clinical attachment loss (CAL) ≥3 mm and at least two interproxima sites with probing depth (PD) ≥4 mm or 1 site with PD≥5 mm; moderate: at least two interproximal sites with CAL ≥4 mm and at least two interproxima sites with at least two interproximal sites with PD ≥5 mm; severe: at least two interproximal sites with CAL ≥6 mm and at least one interproxima site with at least two interproximal sites with PD≥5 mm]. A periodontal examination indexes [plaque index (PLI), PD, CAL, and bleeding on probing (BOP)] and glucose metabolism indexes [FG, OGTT, hemoglobinA1c (HbA1c), fasting insulin and homeostasis model assessments of insulin resistance (HOMA-IR)] were measured. The association of glucose metabolism and chronic periodontitis was investigated by multivariable logistic regression analysis. RESULTS FG in the moderate and severe chronic periodontitis groups was significantly higher compared with mild chronic periodontitis group, HOMA-IR in the moderate and severe chronic periodontitis groups was significantly higher compared with mild chronic periodontitis group, OGTT in the severe chronic periodntitis group was significantly higher compared with mild chronic peridontitis group and moderate chronic periodontitis groups, and there was no significant difference between moderate and mild chronic periodontitis groups. For the insulin and HbA1c, there was no significant difference among mild, moderate and severe chronic periodontitis groups. After multivariable adjustment of age, gender, smoking status, hypertension and body mass index, IFG (OR=1.39, 95%CI: 1.01-1.98) and HOMA-IR (OR=1.36, 95%CI: 1.04-1.76) were associated with moderate periodontitis; IFG (OR=1.64, 95%CI: 1.17-2.40), IGT (OR=1.65, 95%CI: 1.21-2.26), and HOMA-IR (OR=1.72, 95%CI: 1.23-2.41) were significantly associated with severe periodontitis. CONCLUSION Our data provided evidences that impaired glucose metabolism were associated with chronic periodontitis among pre-diabetes patients.
Collapse
Affiliation(s)
| | - 畅 刘
- 中国人民解放军总医院第七医学中心肿瘤科,北京 100700Department of Oncology, the Seventh Medical Center of PLA General Hospital, Beijing 100700, China
| | - 彬 陈
- 中国人民解放军总医院第七医学中心内分泌科,北京 100700Department of Endocrinology and Metabolism, the Seventh Medical Center of PLA General Hospital, Beijing 100700, China
| | - 帆 陈
- 北京大学人民医院口腔科,北京 100044Department of Stomatology, Peking University People’s Hospital, Beijing 100044, China
| | - 晋瑜 段
- 北京大学口腔医学院·口腔医院,门诊部 国家口腔疾病临床医学研究中心 口腔数字化医疗技术和材料国家工程实验室 口腔数字医学北京市重点实验室,北京 100081First Clinical Division, Peking University School and Hospital of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
| | - 孟钧 张
- 北京大学口腔医学院·口腔医院,门诊部 国家口腔疾病临床医学研究中心 口腔数字化医疗技术和材料国家工程实验室 口腔数字医学北京市重点实验室,北京 100081First Clinical Division, Peking University School and Hospital of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
| | - 剑 焦
- 北京大学口腔医学院·口腔医院,门诊部 国家口腔疾病临床医学研究中心 口腔数字化医疗技术和材料国家工程实验室 口腔数字医学北京市重点实验室,北京 100081First Clinical Division, Peking University School and Hospital of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
| |
Collapse
|
14
|
张 勇, 刘 畅, 陈 彬, 陈 帆, 段 晋, 张 孟, 焦 剑. [Associations of impaired glucose metabolism with chronic peridontitis in pre-diabetes patients]. Beijing Da Xue Xue Bao Yi Xue Ban 2020; 52:71-76. [PMID: 32071466 PMCID: PMC7439070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 10/07/2018] [Indexed: 04/01/2024]
Abstract
OBJECTIVE To investigate the associations of impaired glucose metabolism and insulin resistance with chronic periodontitis in pre-diabetes patients. METHODS A cross-sectional analysis was conducted and we included a total of 171 pre-diabetes patients aged 30-65 years, free of diabetes. pre-diabetes was defined as impaired fasting glucose (IFG) [fasting glucose (FG): 6.1-7.0 mmol/L] and/or impaired glucose tolerance (IGT) [oral glucose tolerance test (OGTT): 7.8-11.0 mmol/L]. Chronic periodontitis was defined according to Centers for Disease Control and Prevention (CDC)/American Academy of Periodontology (AAP) definition and the patients were divided into mild, moderate, and severe chronic periodontitis groups [mild: at least two interproximal sites with clinical attachment loss (CAL) ≥3 mm and at least two interproxima sites with probing depth (PD) ≥4 mm or 1 site with PD≥5 mm; moderate: at least two interproximal sites with CAL ≥4 mm and at least two interproxima sites with at least two interproximal sites with PD ≥5 mm; severe: at least two interproximal sites with CAL ≥6 mm and at least one interproxima site with at least two interproximal sites with PD≥5 mm]. A periodontal examination indexes [plaque index (PLI), PD, CAL, and bleeding on probing (BOP)] and glucose metabolism indexes [FG, OGTT, hemoglobinA1c (HbA1c), fasting insulin and homeostasis model assessments of insulin resistance (HOMA-IR)] were measured. The association of glucose metabolism and chronic periodontitis was investigated by multivariable logistic regression analysis. RESULTS FG in the moderate and severe chronic periodontitis groups was significantly higher compared with mild chronic periodontitis group, HOMA-IR in the moderate and severe chronic periodontitis groups was significantly higher compared with mild chronic periodontitis group, OGTT in the severe chronic periodntitis group was significantly higher compared with mild chronic peridontitis group and moderate chronic periodontitis groups, and there was no significant difference between moderate and mild chronic periodontitis groups. For the insulin and HbA1c, there was no significant difference among mild, moderate and severe chronic periodontitis groups. After multivariable adjustment of age, gender, smoking status, hypertension and body mass index, IFG (OR=1.39, 95%CI: 1.01-1.98) and HOMA-IR (OR=1.36, 95%CI: 1.04-1.76) were associated with moderate periodontitis; IFG (OR=1.64, 95%CI: 1.17-2.40), IGT (OR=1.65, 95%CI: 1.21-2.26), and HOMA-IR (OR=1.72, 95%CI: 1.23-2.41) were significantly associated with severe periodontitis. CONCLUSION Our data provided evidences that impaired glucose metabolism were associated with chronic periodontitis among pre-diabetes patients.
Collapse
Affiliation(s)
| | - 畅 刘
- 中国人民解放军总医院第七医学中心肿瘤科,北京 100700Department of Oncology, the Seventh Medical Center of PLA General Hospital, Beijing 100700, China
| | - 彬 陈
- 中国人民解放军总医院第七医学中心内分泌科,北京 100700Department of Endocrinology and Metabolism, the Seventh Medical Center of PLA General Hospital, Beijing 100700, China
| | - 帆 陈
- 北京大学人民医院口腔科,北京 100044Department of Stomatology, Peking University People’s Hospital, Beijing 100044, China
| | - 晋瑜 段
- 北京大学口腔医学院·口腔医院,门诊部 国家口腔疾病临床医学研究中心 口腔数字化医疗技术和材料国家工程实验室 口腔数字医学北京市重点实验室,北京 100081First Clinical Division, Peking University School and Hospital of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
| | - 孟钧 张
- 北京大学口腔医学院·口腔医院,门诊部 国家口腔疾病临床医学研究中心 口腔数字化医疗技术和材料国家工程实验室 口腔数字医学北京市重点实验室,北京 100081First Clinical Division, Peking University School and Hospital of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
| | - 剑 焦
- 北京大学口腔医学院·口腔医院,门诊部 国家口腔疾病临床医学研究中心 口腔数字化医疗技术和材料国家工程实验室 口腔数字医学北京市重点实验室,北京 100081First Clinical Division, Peking University School and Hospital of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
| |
Collapse
|
15
|
Nakanishi K, Namisaki T, Mashitani T, Kaji K, Ozaki K, Saikawa S, Sato S, Inoue T, Sawada Y, Kitagawa K, Takaya H, Shimozato N, Kawaratani H, Moriya K, Akahane T, Mitoro A, Yoshiji H. Late-Evening Snack with Branched-Chain Amino Acid-Enriched Nutrients Does Not Always Inhibit Overt Diabetes in Patients with Cirrhosis: A Pilot Study. Nutrients 2019; 11:E2140. [PMID: 31500257 DOI: 10.3390/nu11092140] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2019] [Revised: 09/02/2019] [Accepted: 09/02/2019] [Indexed: 01/02/2023] Open
Abstract
Cirrhosis patients often have abnormal glucose metabolism. We investigated the effects of a late-evening snack (LES) with branched-chain amino acid-enriched nutrients (BCAA-EN) on glucose metabolism in cirrhosis patients. LES with BCAA-EN was administered for 1 week in 13 patients with cirrhosis and hypoalbuminemia. Blood glucose (BG) levels were measured every 15 min. The patients were divided into two groups based on BG levels: group 1 (G1, n = 11): nocturnal BG levels <200 mg/dL and group 2 (G2, n = 2): nocturnal BG levels ≥200 mg/dL. G1 had nocturnal BG levels <200 mg/dL, whereas G2 had nocturnal BG levels ≥200 mg/dL. The average BG levels did not significantly change after BCAA-EN administration in G1 (before 91.9 ± 29.0 mg/dL; after 89.0 ± 24.3 mg/dl). However, the average BG levels significantly increased after BCAA-EN administration in G2 (before 153.6 ± 43.3 mg/dL; after 200.9 ± 59.7 mg/dL) (p < 0.01). The glycated albumin level (16.6 ± 0.9% vs. 16.2 ± 2.1%), fasting immunoreactive insulin (F-IRI) level (53.9 ± 34.0 μU/mL vs. 16.5 ± 11.0 μU/mL), and homeostasis model assessment of insulin resistance (HOMA-IR) score (17.85 ± 10.58 vs. 4.02 ± 2.59) were significantly higher in G2 than in G1 (p < 0.05, p < 0.05, and p < 0.01, respectively). The quantitative insulin sensitivity check indices (0.32 ± 0.03 vs. 0.27 ± 0.02) were significantly higher in G1 than in G2 (p < 0.01). One patient in G2 was obese and had type 2 diabetes. The other patient was obese and had a high HOMA-IR score and F-IRI level. A LES with BCAA-EN does not inhibit overt diabetes in most cirrhosis patients. However, close attention should be paid to fluctuations in BG levels in cirrhosis patients who present with obesity and severe insulin resistance.
Collapse
|
16
|
Sluik D, Brouwer-Brolsma EM, Berendsen AAM, Mikkilä V, Poppitt SD, Silvestre MP, Tremblay A, Pérusse L, Bouchard C, Raben A, Feskens EJM. Protein intake and the incidence of pre-diabetes and diabetes in 4 population-based studies: the PREVIEW project. Am J Clin Nutr 2019; 109:1310-1318. [PMID: 31051510 PMCID: PMC6499506 DOI: 10.1093/ajcn/nqy388] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2018] [Accepted: 12/20/2018] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Data on the relationship between protein intake and the risk of type 2 diabetes are conflicting. OBJECTIVE We studied prospective associations between the intake of total, plant-based, and animal protein and the risk of pre-diabetes and diabetes in 4 population-based studies included in the PREVIEW project. METHODS Analyses were conducted with the use of data from 3 European cohorts and 1 Canadian cohort, including 78,851 participants. Protein intake was assessed through the use of harmonized data from food-frequency questionnaires or 3-d dietary records. Cohort-specific incidence ratios (IRs) were estimated for pre-diabetes and diabetes, adjusting for general characteristics, lifestyle and dietary factors, disease history, and body mass index (BMI) and waist circumference; results were pooled based on a random-effects meta-analysis. RESULTS Higher total protein intake (g · kg-1 · d-1) was associated with lower incidences of pre-diabetes and diabetes (pooled IRs: 0.84; 95% CI: 0.82, 0.87 and 0.49; 95% CI: 0.28, 0.83, respectively); plant-based protein intake was the main determinant (pooled IRs: 0.83; 95% CI: 0.81, 0.86 and 0.53; 95% CI: 0.36, 0.76, respectively). Substituting 2 energy percentage (E%) protein at the expense of carbohydrates revealed increased risks of pre-diabetes and diabetes (pooled IRs: 1.04; 95% CI: 1.01, 1.07 and 1.09; 95% CI: 1.01, 1.18, respectively). Except for the associations between intakes of total protein and plant-based protein (g · kg-1 · d-1) and diabetes, all other associations became nonsignificant after adjustment for BMI and waist circumference. CONCLUSIONS Higher protein intake (g · kg-1 · d-1) was associated with a lower risk of pre-diabetes and diabetes. Associations were substantially attenuated after adjustments for BMI and waist circumference, which demonstrates a crucial role for adiposity and may account for previous conflicting findings. This study was registered at ISRCTN as ISRCTN31174892.
Collapse
Affiliation(s)
- Diewertje Sluik
- Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands
| | - Elske M Brouwer-Brolsma
- Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands
| | - Agnes A M Berendsen
- Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands
| | - Vera Mikkilä
- Division of Nutrition, Department of Food and Environmental Sciences, University of Helsinki, Helsinki, Finland,Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - Sally D Poppitt
- Human Nutrition Unit, Department of Medicine and School of Biological Sciences, University of Auckland, Auckland, New Zealand
| | - Marta P Silvestre
- Human Nutrition Unit, Department of Medicine and School of Biological Sciences, University of Auckland, Auckland, New Zealand
| | | | - Louis Pérusse
- Department of Kinesiology, Université Laval, Québec City, Canada,Institute of Nutrition and Functional Foods, Université Laval, Québec City, Canada
| | - Claude Bouchard
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA
| | - Anne Raben
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Denmark
| | - Edith J M Feskens
- Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands,Address correspondence to EJMF (e-mail: )
| |
Collapse
|
17
|
Higuchi R, Iwane T, Suwa K, Nakajima K. Adjustment for Waist Circumference Reveals a U-Shaped Association Between Glycated Hemoglobin Levels and Body Mass Index in Young Adults. Can J Diabetes 2019; 43:201-206. [PMID: 30503869 DOI: 10.1016/j.jcjd.2018.09.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/25/2017] [Revised: 08/14/2018] [Accepted: 09/14/2018] [Indexed: 02/08/2023]
Abstract
OBJECTIVES Body mass index (BMI) is used to assess adiposity worldwide. However, additional adjustment for waist circumference (WC), a surrogate marker of abdominal fat, may be capable of revealing a latent relationship between low body weight and glycated hemoglobin (A1C) concentration. Here, we investigated the relationship between A1C and BMI in young adults, adjusting for WC. METHODS We reviewed A1C, BMI, WC and other clinical data in a cross-sectional study of 26,475 apparently healthy Japanese people 20 to 39 years of age who were undergoing health check-ups. RESULTS Although the values of most serum parameters were high in subjects with a high BMI in both younger (20 to 29 years of age, n=10,810) and older subjects (30 to 39 years of age, n=15,665), A1C had a J-shaped relationship with BMI category in younger subjects, regardless of sex. A traditional linear model via a generalized linear model showed that in younger subjects, an inverse association of A1C level with BMI category (19 to 26.9 kg/m2 vs. ≤18.9 kg/m2) was identified after adjustment for WC. This indicates positive associations between A1C and BMI categories of ≤18.9 (beta=0.06; p<0.0001), 19.0 to 20.9 (beta=0.03; p<0.01) and ≥27.0 kg/m2 (beta=0.08; p<0.0001), in contrast to individuals with BMIs of 23.0 to 24.9 kg/m2. Similarly, in older subjects, BMIs ≤18.9 kg/m2 were associated with A1C levels but to a lesser extent (beta=0.04; p<0.05) than in younger subjects. CONCLUSIONS Additional adjustment of BMI for WC revealed a latent U-shaped association between A1C concentration and BMI, particularly in young adults; this deserves further investigation.
Collapse
Affiliation(s)
- Ryoko Higuchi
- School of Nutrition and Dietetics, Faculty of Health and Social Services, Kanagawa University of Human Services, Yokosuka, Kanagawa, Japan
| | - Taizo Iwane
- School of Nutrition and Dietetics, Faculty of Health and Social Services, Kanagawa University of Human Services, Yokosuka, Kanagawa, Japan
| | - Kaname Suwa
- Saitama Health Promotion Corporation, Yoshimimachi, Hikigun, Saitama, Japan
| | - Kei Nakajima
- School of Nutrition and Dietetics, Faculty of Health and Social Services, Kanagawa University of Human Services, Yokosuka, Kanagawa, Japan; Department of Endocrinology and Diabetes, Saitama Medical Center, Saitama Medical University, Kawagoe, Saitama, Japan.
| |
Collapse
|
18
|
Łojko D, Owecki M, Suwalska A. Impaired Glucose Metabolism in Bipolar Patients: The Role of Psychiatrists in Its Detection and Management. Int J Environ Res Public Health 2019; 16:E1132. [PMID: 30934836 DOI: 10.3390/ijerph16071132] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/17/2019] [Revised: 03/25/2019] [Accepted: 03/26/2019] [Indexed: 12/12/2022]
Abstract
Bipolar patients have a higher risk of type 2 diabetes and obesity, which are associated with cardiovascular diseases as the leading cause of death in this group. Additionally, there is growing evidence that impaired glucose metabolism in bipolar patients is associated with rapid cycling, poor response to mood stabilizers and chronic course of illness. The aim of the study was to assess the prevalence of type 2 diabetes and other types of impaired glucose metabolism in bipolar patients along with an evaluation of the Fasting Triglycerides and Glucose Index (TyG) as a method of the insulin sensitivity assessment. The analysis of fasting glycemia, insulinemia and lipid profile in euthymic bipolar patients was performed, and the Homeostasis model assessment for insulin resistance (HOMA-IR) and TyG were computed. Type 2 diabetes was observed in 9% and insulin resistance with HOMA-IR in 48% of patients. The TyG and HOMA-IR indices were correlated (p < 0.0001), the TyG index value of 4.7 had the highest sensitivity and specificity for insulin resistance detection. The usefulness of TyG in the recognition of insulin resistance in bipolar patients was suggested. The significant role of psychiatrists in the detection and management of impaired glucose metabolism in bipolar patients was presented.
Collapse
|
19
|
Lee JE, Oh TJ, Moon JH, Park KS, Jang HC, Choi SH. Serum Neopterin Concentration and Impaired Glucose Metabolism: Relationship With β-Cell Function and Insulin Resistance. Front Endocrinol (Lausanne) 2019; 10:43. [PMID: 30873113 PMCID: PMC6403128 DOI: 10.3389/fendo.2019.00043] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Accepted: 01/18/2019] [Indexed: 12/27/2022] Open
Abstract
Aim: The purpose of this study was to measure the serum neopterin according to glucose metabolism and to evaluate neopterin as a predictor of type 2 diabetes (T2D) in a hospital-based cohort. Methods: A 75-g oral glucose tolerance test (OGTT) was performed by people who visited the outpatient clinic in Seoul National University Bundang Hospital for suspected abnormal glucose tolerance or a strong family history of T2D. Neopterin was measured using an enzyme-link immunosorbent assay with baseline samples from the OGTT. Results: Neopterin was measured in 184 participants. Indices related to glucose metabolism, such as the HOMA-IR, disposition index, etc. were calculated based on the results of the OGTT. The classifications for the 184 participants were: 24 (13%) had NGT, 89 (48.4%) prediabetes, and 60 (38.6%) T2D. Neopterin increased with deterioration of glucose metabolism (0.55 ± 0.25 vs. 0.58 ± 0.27 vs. 0.67 ± 0.27 ng/ml, p = 0.041; NGT, prediabetes, and T2D, respectively). Neopterin also correlated with fasting plasma glucose, 30-min and 120-min glucose of OGTT and HbA1c (r = 0.251, 0.259, 0.184, and 0.270, all p < 0.05). The HOMA-IR and disposition index correlated with neopterin (r = 0.291 and -0.170, respectively, both p < 0.05). When combined with C-peptide level, neopterin was as powerful as HOMA-IR in predicting future T2D. Conclusion: Serum neopterin appears to be related to impaired insulin secretion and insulin resistance in the development of T2D. Further investigation of the relationship between neopterin and glucose metabolism would be helpful to understand the pathophysiology for the development of T2D.
Collapse
Affiliation(s)
- Jie-Eun Lee
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Tae Jung Oh
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Jae Hoon Moon
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Kyong Soo Park
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Hak Chul Jang
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Sung Hee Choi
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea
- *Correspondence: Sung Hee Choi
| |
Collapse
|
20
|
Okada N, Niimura T, Zamami Y, Hamano H, Ishida S, Goda M, Takechi K, Chuma M, Imanishi M, Ishizawa K. Pharmacovigilance evaluation of the relationship between impaired glucose metabolism and BCR-ABL inhibitor use by using an adverse drug event reporting database. Cancer Med 2018; 8:174-181. [PMID: 30561126 PMCID: PMC6346261 DOI: 10.1002/cam4.1920] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Revised: 11/17/2018] [Accepted: 11/22/2018] [Indexed: 12/24/2022] Open
Abstract
Breakpoint cluster region‐Abelson murine leukemia (BCR‐ABL) inhibitors markedly improve the prognosis of chronic myeloid leukemia. However, high treatment adherence is necessary for successful treatment with BCR‐ABL inhibitors. Therefore, an adequate understanding of the adverse event profiles of BCR‐ABL inhibitors is essential. Although many adverse events are observed in trials, an accurate identification of adverse events based only on clinical trial results is difficult because of strict entry criteria or limited follow‐up durations. In particular, BCR‐ABL inhibitor‐induced impaired glucose metabolism remains controversial. Pharmacovigilance evaluations using spontaneous reporting systems are useful for analyzing drug‐related adverse events in clinical settings. Therefore, we conducted signal detection analyses for BCR‐ABL inhibitor‐induced impaired glucose metabolism by using the FDA Adverse Event Reporting System (FAERS) and Japanese Adverse Drug Event Report (JADER) database. Signals for an increased reporting rate of impaired glucose metabolism were detected only for nilotinib use, whereas these signals were not detected for other BCR‐ABL inhibitors. Subgroup analyses showed a clearly increased nilotinib‐associated reporting rate of impaired glucose metabolism in male and younger patients. Although FAERS‐ and JADER‐based signal detection analyses cannot determine causality perfectly, our study suggests the effects on glucose metabolism are different between BCR‐ABL inhibitors and provides useful information for the selection of appropriate BCR‐ABL inhibitors.
Collapse
Affiliation(s)
- Naoto Okada
- Department of Pharmacy, Tokushima University Hospital, Tokushima, Japan
| | - Takahiro Niimura
- Department of Clinical Pharmacology and Therapeutics, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Yoshito Zamami
- Department of Pharmacy, Tokushima University Hospital, Tokushima, Japan.,Department of Clinical Pharmacology and Therapeutics, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Hirofumi Hamano
- Department of Pharmacy, Tokushima University Hospital, Tokushima, Japan
| | - Shunsuke Ishida
- Department of Pharmacy, Tokushima University Hospital, Tokushima, Japan
| | - Mitsuhiro Goda
- Department of Pharmacy, Tokushima University Hospital, Tokushima, Japan
| | - Kenshi Takechi
- Clinical Trial Center for Developmental Therapeutics, Tokushima University Hospital, Tokushima, Japan
| | - Masayuki Chuma
- Clinical Trial Center for Developmental Therapeutics, Tokushima University Hospital, Tokushima, Japan
| | - Masaki Imanishi
- Department of Pharmacy, Tokushima University Hospital, Tokushima, Japan
| | - Keisuke Ishizawa
- Department of Pharmacy, Tokushima University Hospital, Tokushima, Japan.,Department of Clinical Pharmacology and Therapeutics, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| |
Collapse
|
21
|
Kloppenborg JT, Gamborg M, Fonvig CE, Nielsen TRH, Pedersen O, Johannesen J, Hansen T, Holm JC. The effect of impaired glucose metabolism on weight loss in multidisciplinary childhood obesity treatment. Pediatr Diabetes 2018; 19:366-374. [PMID: 29159854 DOI: 10.1111/pedi.12605] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2017] [Revised: 08/30/2017] [Accepted: 10/11/2017] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVE To investigate whether children and adolescents exhibiting an impaired glucose metabolism are more obese at treatment entry and less likely to reduce their degree of obesity during treatment. METHODS The present study is a longitudinal observational study, including children and adolescents from the Children's Obesity Clinic, Holbaek, Denmark. Anthropometrics, pubertal development, socioeconomic status (SES), and fasting concentrations of plasma glucose, serum insulin, serum C-peptide, and whole blood glycosylated hemoglobin (HbA1c) were collected at treatment entry and at follow-up. Proxies of Homeostasis Model Assessment 2-insulin sensitivity (HOMA2-IS) and Homeostasis Model Assessment 2-β-cell function (HOMA2-B) were calculated with the Homeostasis Model Assessment 2 program. RESULTS In total, 569 (333 boys) patients, median 11.5 years of age (range 6-22 years), and median body mass index (BMI) z-score 2.94 (range 1.34-5.54) were included. The mean BMI z-score reduction was 0.31 (±0.46) after 13 months (range 6-18) of treatment. At treatment entry, patients with impaired estimates of glucose metabolism were more obese than normoglycemic patients. Baseline concentration of C-peptide was associated with a lower weight loss during treatment in girls (P = .02). Reduction in the insulin concentrations was associated with reduction in BMI z-score in both sexes (P < .0001, P = .0005). During treatment, values of glucose, HbA1c, HOMA2-IS, and HOMA2-B did not change or impact the treatment outcome, regardless of age, sex, SES, or degree of obesity at treatment entry. CONCLUSION The capability to reduce weight during multidisciplinary treatment in children and adolescents with overweight/obesity is not influenced by an impaired glucose metabolism at study entry or during the course of treatment.
Collapse
Affiliation(s)
- Julie T Kloppenborg
- The Children's Obesity Clinic, Department of Pediatrics, Copenhagen University Hospital Holbaek, Holbaek, Denmark.,Department of Pediatrics, Copenhagen University Hospital Herlev, Herlev, Denmark
| | - Michael Gamborg
- Institute of Preventive Medicine, Copenhagen University Hospital, Copenhagen, Denmark
| | - Cilius E Fonvig
- The Children's Obesity Clinic, Department of Pediatrics, Copenhagen University Hospital Holbaek, Holbaek, Denmark.,The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, University of Copenhagen, Copenhagen, Denmark.,Hans Christian Andersen Children's Hospital, Odense University Hospital, Odense, Denmark
| | - Tenna R H Nielsen
- The Children's Obesity Clinic, Department of Pediatrics, Copenhagen University Hospital Holbaek, Holbaek, Denmark.,The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, University of Copenhagen, Copenhagen, Denmark
| | - Oluf Pedersen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, University of Copenhagen, Copenhagen, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jesper Johannesen
- Department of Pediatrics, Copenhagen University Hospital Herlev, Herlev, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Torben Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, University of Copenhagen, Copenhagen, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jens-Christian Holm
- The Children's Obesity Clinic, Department of Pediatrics, Copenhagen University Hospital Holbaek, Holbaek, Denmark.,The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, University of Copenhagen, Copenhagen, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| |
Collapse
|
22
|
Huang L, Tepaamorndech S, Kirschke CP, Newman JW, Keyes WR, Pedersen TL, Dumnil J. Aberrant fatty acid metabolism in skeletal muscle contributes to insulin resistance in zinc transporter 7 ( znt7)-knockout mice. J Biol Chem 2018; 293:7549-7563. [PMID: 29555680 DOI: 10.1074/jbc.m117.817692] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Revised: 03/12/2018] [Indexed: 12/22/2022] Open
Abstract
ZnT7 (Slc30a7) is a widely expressed zinc transporter involved in sequestration of zinc into the Golgi apparatus and vesicular compartments. znt7-knockout (KO) mice are mildly zinc-deficient and lean. Despite their lean phenotype, adult male znt7-KO mice are prone to insulin resistance. We hypothesized that fat partitioning from adipose to nonadipose tissues causes insulin resistance in znt7-KO mice. Here, we used biological and biochemical methods, including fatty acid and oxylipin profiling, EM, immunohistochemistry, quantitative RT-PCR, and Western blot analysis, to identify the underlying mechanism of insulin resistance in znt7-KO mice. We found that insulin resistance in this model was primarily associated with increased intracellular fatty acid levels in the skeletal muscle, which promoted intracellular lipid accumulation and production of bioactive lipid mediators, such as 12,13-dihydroxyoctadecanoic acid (12,13-DiHOME) and 12-hydroxyeicosatetraenoic acid (12-HETE). The expression of fatty acid-binding protein 3 (Fabp3) was dramatically up-regulated in the znt7-KO muscle cells accompanied by increased expression of Cd36, Slc27a1, and Slc27a4, the three major fatty acid transporters in the skeletal muscle. We also demonstrated that znt7-KO muscle cells had increased fatty acid oxidative capacity, indicated by enlarged mitochondria and increased mRNA or protein expression of key enzymes involved in the fatty acid mitochondrial shuttle and β-oxidation. We conclude that increased fatty acid uptake in the znt7-KO skeletal muscle is a key factor that contributes to the excessive intracellular lipid deposit and elevated production of bioactive lipid mediators. These mediators may play pivotal roles in oxidative stress and inflammation, leading to insulin resistance.
Collapse
Affiliation(s)
- Liping Huang
- From the Obesity and Metabolism Research Unit, United States Department of Agriculture/Agricultural Research Service/Western Human Nutrition Research Center, Davis, California 95616, .,Department of Nutrition and.,Integrative Genetics and Genomics Graduate Group, University of California, Davis, California 95616, and
| | - Surapun Tepaamorndech
- Integrative Genetics and Genomics Graduate Group, University of California, Davis, California 95616, and.,Food Biotechnology Research Unit, National Center for Genetic Engineering and Biotechnology (BIOTEC), 113 Thailand Science Park, Phahonyothin Road, Pathum Thani 12120, Thailand
| | - Catherine P Kirschke
- From the Obesity and Metabolism Research Unit, United States Department of Agriculture/Agricultural Research Service/Western Human Nutrition Research Center, Davis, California 95616
| | - John W Newman
- From the Obesity and Metabolism Research Unit, United States Department of Agriculture/Agricultural Research Service/Western Human Nutrition Research Center, Davis, California 95616.,Department of Nutrition and
| | - William R Keyes
- From the Obesity and Metabolism Research Unit, United States Department of Agriculture/Agricultural Research Service/Western Human Nutrition Research Center, Davis, California 95616
| | - Theresa L Pedersen
- From the Obesity and Metabolism Research Unit, United States Department of Agriculture/Agricultural Research Service/Western Human Nutrition Research Center, Davis, California 95616
| | - Jureeporn Dumnil
- Food Biotechnology Research Unit, National Center for Genetic Engineering and Biotechnology (BIOTEC), 113 Thailand Science Park, Phahonyothin Road, Pathum Thani 12120, Thailand
| |
Collapse
|
23
|
Lebenthal Y, Levy S, Sofrin-Drucker E, Nagelberg N, Weintrob N, Shalitin S, de Vries L, Tenenbaum A, Phillip M, Lazar L. The Natural History of Metabolic Comorbidities in Turner Syndrome from Childhood to Early Adulthood: Comparison between 45,X Monosomy and Other Karyotypes. Front Endocrinol (Lausanne) 2018; 9:27. [PMID: 29479339 PMCID: PMC5811462 DOI: 10.3389/fendo.2018.00027] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2017] [Accepted: 01/19/2018] [Indexed: 12/29/2022] Open
Abstract
OBJECTIVE Patients with Turner syndrome (TS) are at increased risk for metabolic disorders. We aimed to delineate the occurrence and evolution of metabolic comorbidities in TS patients and to determine whether these differ in 45,X monosomy and other karyotypes. METHODS A longitudinal and cross-sectional retrospective cohort study was conducted in a tertiary pediatric endocrine unit during 1980-2016. Ninety-eight TS patients, 30 with 45,X monosomy were followed from childhood to early adulthood. Outcome measures included weight status, blood pressure (BP), glucose metabolism, and lipid profile. RESULTS Longitudinal analysis showed a significant change in body mass index (BMI) percentiles over time [F(3,115) = 4.8, P = 0.003]. Age was associated with evolution of elevated BP [systolic BP: odds ratio (OR) = 0.91, P = 0.003; diastolic BP: OR = 0.93, P = 0.023], impaired glucose metabolism (HbA1c: OR = 1.08, P = 0.029; impaired glucose tolerance: OR = 1.12, P = 0.029), and abnormal lipid profile (cholesterol: OR = 1.06, P = 0.01; low-density lipoprotein cholesterol: OR = 1.07, P = 0.041; high-density lipoprotein cholesterol: OR = 1.07, P = 0.033). The occurrence of metabolic comorbidities was similar in 45,X monosomy and other karyotypes. Coexistence of multiple metabolic comorbidities was significantly higher in 45,X monosomy [F(1,72) = 4.81, P = 0.032]. BMI percentiles were positively correlated with metabolic comorbidities (occurrence and number) in each patient (r = 0.35, P = 0.002 and r = 0.383, P = 0.001, respectively). CONCLUSION Our longitudinal study provides unique insights into the evolution of weight gain and metabolic disorders from childhood to early adulthood in TS patients. Since overweight and increasing age aggravate the risk for metabolic comorbidities, careful surveillance is warranted to prevent and control obesity already from childhood. The more prominent clustering of metabolic comorbidities in 45,X monosomy underscores the importance of a more vigorous intervention in this group.
Collapse
Affiliation(s)
- Yael Lebenthal
- The Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children’s Medical Center of Israel, Petah Tikva, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- *Correspondence: Yael Lebenthal,
| | - Sigal Levy
- Statistical Education Unit, The Academic College of Tel Aviv Yaffo, Jaffa, Israel
| | - Efrat Sofrin-Drucker
- The Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children’s Medical Center of Israel, Petah Tikva, Israel
| | - Nessia Nagelberg
- The Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children’s Medical Center of Israel, Petah Tikva, Israel
| | - Naomi Weintrob
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Pediatric Endocrinology and Diabetes Unit, Dana-Dwek Children’s Hospital, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Shlomit Shalitin
- The Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children’s Medical Center of Israel, Petah Tikva, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Liat de Vries
- The Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children’s Medical Center of Israel, Petah Tikva, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Ariel Tenenbaum
- The Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children’s Medical Center of Israel, Petah Tikva, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Moshe Phillip
- The Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children’s Medical Center of Israel, Petah Tikva, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Liora Lazar
- The Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children’s Medical Center of Israel, Petah Tikva, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| |
Collapse
|
24
|
Mansur RB, Santos CM, Rizzo LB, Asevedo E, Cunha GR, Noto MN, Pedrini M, Zeni-Graiff M, Cordeiro Q, Vinberg M, Kapczinski F, McIntyre RS, Brietzke E. Brain-derived neurotrophic factor, impaired glucose metabolism, and bipolar disorder course. Bipolar Disord 2016; 18:373-8. [PMID: 27324989 DOI: 10.1111/bdi.12399] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2016] [Revised: 04/28/2016] [Accepted: 04/30/2016] [Indexed: 01/01/2023]
Abstract
OBJECTIVES The neurotrophin brain-derived neurotrophic factor (BDNF) has been proposed as a potential biomarker in bipolar disorder (BD). However, current evidence is limited and results have been highly heterogeneous. This study aimed to assess the moderating effect of impaired glucose metabolism (IGM) on plasma levels of BDNF in individuals with BD, and on the relationship between BDNF and variables of illness course. METHODS We measured and compared the plasma levels of BDNF in individuals with BD (n=57) and healthy controls (n=26). IGM was operationalized as pre-diabetes or type 2 diabetes mellitus. Information related to current and past psychiatric/medical history, as well as prescription of pharmacological treatments was also captured. RESULTS Individuals with BD had lower levels of BDNF, relative to healthy controls, after adjustment for age, gender, current medications, smoking, alcohol use, and IGM (P=.046). There was no effect of IGM (P=.860) and no interaction between BD diagnosis and IGM (P=.893). Peripheral BDNF levels were positively correlated with lifetime depressive episodes (P<.001), psychiatric hospitalizations (P=.001) and suicide attempts (P=.021). IGM moderated the association between BDNF and the number of previous mood episodes (P<.001), wherein there was a positive correlation in euglycemic participants and a negative correlation in individuals with IGM. CONCLUSIONS BD is independently associated with lower levels of BDNF; IGM may modify the relationship between BDNF and BD course, suggesting an interactive effect of BDNF with metabolic status on illness progression.
Collapse
Affiliation(s)
- Rodrigo B Mansur
- Department of Psychiatry, Research Group in Behavioral Neuroscience of Bipolar Disorder (GP-TB), Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil.,Mood Disorders Psychopharmacology Unit (MDPU), University Health Network, University of Toronto, Toronto, Canada
| | - Camila M Santos
- Department of Psychiatry, Research Group in Behavioral Neuroscience of Bipolar Disorder (GP-TB), Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| | - Lucas B Rizzo
- Department of Psychiatry, Research Group in Behavioral Neuroscience of Bipolar Disorder (GP-TB), Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil.,Department of Psychiatry, Clinic for Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Elson Asevedo
- Department of Psychiatry, Research Group in Behavioral Neuroscience of Bipolar Disorder (GP-TB), Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| | - Graccielle R Cunha
- Department of Psychiatry, Research Group in Behavioral Neuroscience of Bipolar Disorder (GP-TB), Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| | - Mariane N Noto
- Department of Psychiatry, Research Group in Behavioral Neuroscience of Bipolar Disorder (GP-TB), Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil.,Vila Maria Outpatient Clinic, São Paulo, Brazil
| | - Mariana Pedrini
- Department of Psychiatry, Research Group in Behavioral Neuroscience of Bipolar Disorder (GP-TB), Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| | - Maiara Zeni-Graiff
- Department of Psychiatry, Research Group in Behavioral Neuroscience of Bipolar Disorder (GP-TB), Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| | - Quirino Cordeiro
- Department of Psychiatry, Irmandade da Santa Casa de Misericórdia de São Paulo (ISCMSP), São Paulo, Brazil
| | - Maj Vinberg
- Psychiatric Center Copenhagen, University of Copenhagen, Copenhagen, Denmark
| | - Flavio Kapczinski
- Bipolar Disorder Program and Laboratory of Molecular Psychiatry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Roger S McIntyre
- Mood Disorders Psychopharmacology Unit (MDPU), University Health Network, University of Toronto, Toronto, Canada
| | - Elisa Brietzke
- Department of Psychiatry, Research Group in Behavioral Neuroscience of Bipolar Disorder (GP-TB), Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| |
Collapse
|
25
|
Egshatyan L, Kashtanova D, Popenko A, Tkacheva O, Tyakht A, Alexeev D, Karamnova N, Kostryukova E, Babenko V, Vakhitova M, Boytsov S. Gut microbiota and diet in patients with different glucose tolerance. Endocr Connect 2016; 5:1-9. [PMID: 26555712 PMCID: PMC4674628 DOI: 10.1530/ec-15-0094] [Citation(s) in RCA: 113] [Impact Index Per Article: 14.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2015] [Accepted: 11/11/2015] [Indexed: 12/24/2022]
Abstract
Type 2 diabetes (T2D) is a serious disease. The gut microbiota (GM) has recently been identified as a new potential risk factor in addition to well-known diabetes risk factors. To investigate the GM composition in association with the dietary patterns in patients with different glucose tolerance, we analyzed 92 patients: with normal glucose tolerance (n=48), prediabetes (preD, n=24), and T2D (n=20). Metagenomic analysis was performed using 16S rRNA sequencing. The diet has been studied by a frequency method with a quantitative evaluation of food intake using a computer program. Microbiota in the samples was predominantly represented by Firmicutes, in a less degree by Bacteroidetes. Blautia was a dominant genus in all samples. The representation of Blautia, Serratia was lower in preD than in T2D patients, and even lower in those with normal glucose tolerance. After the clustering of the samples into groups according to the percentage of protein, fat, carbohydrates in the diet, the representation of the Bacteroides turned to be lower and Prevotella abundance turned to be higher in carbohydrate cluster. There were more patients with insulin resistance, T2D in the fat-protein cluster. Using the Calinski-Harabasz index identified the samples with more similar diets. It was discovered that half of the patients with a high-fat diet had normal tolerance, the others had T2D. The regression analysis showed that these T2D patients also had a higher representation of Blautia. Our study provides the further evidence concerning the structural modulation of the GM in the T2DM pathogenesis depending on the dietary patterns.
Collapse
Affiliation(s)
- Lilit Egshatyan
- 'Research of Age and Age-Associated Conditions' DepartmentNational Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian FederationLaboratory of BioinformaticsScientific Research Institute for Physical-Chemical Medicine, Building 1a, Malaya Pirogovskaya street, Moscow RF 119435, Russian FederationThe 'Russian Clinical Research Center for Gerontology'16, 1st Leonova Street, Moscow RF 192226, Russian Federation'Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System' DepartmentNational Research Centre for Preventive Medicine, bld. 10, Petroverigskiy Lane, MoscowMoscow Institute of Physics and TechnologyDolgoprudny, Institusky Lane, 9 Moscow, RF, 141700, Russian FederationNational Research Centre for Preventive Medicinebld. 10, Petroverigskiy Lane, Moscow
| | - Daria Kashtanova
- 'Research of Age and Age-Associated Conditions' DepartmentNational Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian FederationLaboratory of BioinformaticsScientific Research Institute for Physical-Chemical Medicine, Building 1a, Malaya Pirogovskaya street, Moscow RF 119435, Russian FederationThe 'Russian Clinical Research Center for Gerontology'16, 1st Leonova Street, Moscow RF 192226, Russian Federation'Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System' DepartmentNational Research Centre for Preventive Medicine, bld. 10, Petroverigskiy Lane, MoscowMoscow Institute of Physics and TechnologyDolgoprudny, Institusky Lane, 9 Moscow, RF, 141700, Russian FederationNational Research Centre for Preventive Medicinebld. 10, Petroverigskiy Lane, Moscow
| | - Anna Popenko
- 'Research of Age and Age-Associated Conditions' DepartmentNational Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian FederationLaboratory of BioinformaticsScientific Research Institute for Physical-Chemical Medicine, Building 1a, Malaya Pirogovskaya street, Moscow RF 119435, Russian FederationThe 'Russian Clinical Research Center for Gerontology'16, 1st Leonova Street, Moscow RF 192226, Russian Federation'Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System' DepartmentNational Research Centre for Preventive Medicine, bld. 10, Petroverigskiy Lane, MoscowMoscow Institute of Physics and TechnologyDolgoprudny, Institusky Lane, 9 Moscow, RF, 141700, Russian FederationNational Research Centre for Preventive Medicinebld. 10, Petroverigskiy Lane, Moscow
| | - Olga Tkacheva
- 'Research of Age and Age-Associated Conditions' DepartmentNational Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian FederationLaboratory of BioinformaticsScientific Research Institute for Physical-Chemical Medicine, Building 1a, Malaya Pirogovskaya street, Moscow RF 119435, Russian FederationThe 'Russian Clinical Research Center for Gerontology'16, 1st Leonova Street, Moscow RF 192226, Russian Federation'Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System' DepartmentNational Research Centre for Preventive Medicine, bld. 10, Petroverigskiy Lane, MoscowMoscow Institute of Physics and TechnologyDolgoprudny, Institusky Lane, 9 Moscow, RF, 141700, Russian FederationNational Research Centre for Preventive Medicinebld. 10, Petroverigskiy Lane, Moscow
| | - Alexander Tyakht
- 'Research of Age and Age-Associated Conditions' DepartmentNational Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian FederationLaboratory of BioinformaticsScientific Research Institute for Physical-Chemical Medicine, Building 1a, Malaya Pirogovskaya street, Moscow RF 119435, Russian FederationThe 'Russian Clinical Research Center for Gerontology'16, 1st Leonova Street, Moscow RF 192226, Russian Federation'Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System' DepartmentNational Research Centre for Preventive Medicine, bld. 10, Petroverigskiy Lane, MoscowMoscow Institute of Physics and TechnologyDolgoprudny, Institusky Lane, 9 Moscow, RF, 141700, Russian FederationNational Research Centre for Preventive Medicinebld. 10, Petroverigskiy Lane, Moscow
| | - Dmitry Alexeev
- 'Research of Age and Age-Associated Conditions' DepartmentNational Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian FederationLaboratory of BioinformaticsScientific Research Institute for Physical-Chemical Medicine, Building 1a, Malaya Pirogovskaya street, Moscow RF 119435, Russian FederationThe 'Russian Clinical Research Center for Gerontology'16, 1st Leonova Street, Moscow RF 192226, Russian Federation'Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System' DepartmentNational Research Centre for Preventive Medicine, bld. 10, Petroverigskiy Lane, MoscowMoscow Institute of Physics and TechnologyDolgoprudny, Institusky Lane, 9 Moscow, RF, 141700, Russian FederationNational Research Centre for Preventive Medicinebld. 10, Petroverigskiy Lane, Moscow
| | - Natalia Karamnova
- 'Research of Age and Age-Associated Conditions' DepartmentNational Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian FederationLaboratory of BioinformaticsScientific Research Institute for Physical-Chemical Medicine, Building 1a, Malaya Pirogovskaya street, Moscow RF 119435, Russian FederationThe 'Russian Clinical Research Center for Gerontology'16, 1st Leonova Street, Moscow RF 192226, Russian Federation'Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System' DepartmentNational Research Centre for Preventive Medicine, bld. 10, Petroverigskiy Lane, MoscowMoscow Institute of Physics and TechnologyDolgoprudny, Institusky Lane, 9 Moscow, RF, 141700, Russian FederationNational Research Centre for Preventive Medicinebld. 10, Petroverigskiy Lane, Moscow
| | - Elena Kostryukova
- 'Research of Age and Age-Associated Conditions' DepartmentNational Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian FederationLaboratory of BioinformaticsScientific Research Institute for Physical-Chemical Medicine, Building 1a, Malaya Pirogovskaya street, Moscow RF 119435, Russian FederationThe 'Russian Clinical Research Center for Gerontology'16, 1st Leonova Street, Moscow RF 192226, Russian Federation'Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System' DepartmentNational Research Centre for Preventive Medicine, bld. 10, Petroverigskiy Lane, MoscowMoscow Institute of Physics and TechnologyDolgoprudny, Institusky Lane, 9 Moscow, RF, 141700, Russian FederationNational Research Centre for Preventive Medicinebld. 10, Petroverigskiy Lane, Moscow 'Research of Age and Age-Associated Conditions' DepartmentNational Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian FederationLaboratory of BioinformaticsScientific Research Institute for Physical-Chemical Medicine, Building 1a, Malaya Pirogovskaya street, Moscow RF 119435, Russian FederationThe 'Russian Clinical Research Center for Gerontology'16, 1st Leonova Street, Moscow RF 192226, Russian Federation'Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System' DepartmentNational Research Centre for Preventive Medicine, bld. 10, Petroverigskiy Lane, MoscowMoscow Institute of Physics and TechnologyDolgoprudny, Institusky Lane, 9 Moscow, RF, 141700, Russian FederationNational Research Centre for Preventive Medicinebld. 10, Petroverigskiy Lane, Moscow 'Research of Age and Age-Associated Conditions' DepartmentNational Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian FederationLaboratory of BioinformaticsScientific Research Institute for Physical-Chemical Medicine, Building 1a, Malaya Pirogovskaya street, Moscow RF 119435, Russian Fed
| | - Vladislav Babenko
- 'Research of Age and Age-Associated Conditions' DepartmentNational Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian FederationLaboratory of BioinformaticsScientific Research Institute for Physical-Chemical Medicine, Building 1a, Malaya Pirogovskaya street, Moscow RF 119435, Russian FederationThe 'Russian Clinical Research Center for Gerontology'16, 1st Leonova Street, Moscow RF 192226, Russian Federation'Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System' DepartmentNational Research Centre for Preventive Medicine, bld. 10, Petroverigskiy Lane, MoscowMoscow Institute of Physics and TechnologyDolgoprudny, Institusky Lane, 9 Moscow, RF, 141700, Russian FederationNational Research Centre for Preventive Medicinebld. 10, Petroverigskiy Lane, Moscow
| | - Maria Vakhitova
- 'Research of Age and Age-Associated Conditions' DepartmentNational Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian FederationLaboratory of BioinformaticsScientific Research Institute for Physical-Chemical Medicine, Building 1a, Malaya Pirogovskaya street, Moscow RF 119435, Russian FederationThe 'Russian Clinical Research Center for Gerontology'16, 1st Leonova Street, Moscow RF 192226, Russian Federation'Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System' DepartmentNational Research Centre for Preventive Medicine, bld. 10, Petroverigskiy Lane, MoscowMoscow Institute of Physics and TechnologyDolgoprudny, Institusky Lane, 9 Moscow, RF, 141700, Russian FederationNational Research Centre for Preventive Medicinebld. 10, Petroverigskiy Lane, Moscow
| | - Sergey Boytsov
- 'Research of Age and Age-Associated Conditions' DepartmentNational Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian FederationLaboratory of BioinformaticsScientific Research Institute for Physical-Chemical Medicine, Building 1a, Malaya Pirogovskaya street, Moscow RF 119435, Russian FederationThe 'Russian Clinical Research Center for Gerontology'16, 1st Leonova Street, Moscow RF 192226, Russian Federation'Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System' DepartmentNational Research Centre for Preventive Medicine, bld. 10, Petroverigskiy Lane, MoscowMoscow Institute of Physics and TechnologyDolgoprudny, Institusky Lane, 9 Moscow, RF, 141700, Russian FederationNational Research Centre for Preventive Medicinebld. 10, Petroverigskiy Lane, Moscow
| |
Collapse
|
26
|
Saito K, Inoue S, Saito T, Kiso S, Ito N, Tamura S, Watanabe H, Takeda H, Misawa H, Togashi H, Matsuzawa Y, Kawata S. Augmentation effect of postprandial hyperinsulinaemia on growth of human hepatocellular carcinoma. Gut 2002; 51:100-4. [PMID: 12077100 PMCID: PMC1773270 DOI: 10.1136/gut.51.1.100] [Citation(s) in RCA: 53] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
BACKGROUND Cirrhotic patients with hepatocellular carcinoma (HCC) frequently have impaired glucose metabolism. AIMS To investigate whether impaired glucose metabolism affects the growth rate of the tumour. PATIENTS AND METHODS Tumour doubling time (DT), assessed by ultrasound imaging analysis, was measured in 60 patients with single small HCC (diameter <30 mm). DT was compared with plasma insulin and glucose concentrations following the oral glucose tolerance test (OGTT). The effect of continuous infusion of octreotide (a somatostatin analogue 200 microg/day) for three months on DT in five cases was assessed. RESULTS The 60 patients were divided into two groups because the median DT was 140 days: rapid growth group (DT <or=140 days, n=30) and slow growth group (DT >140 days, n=30). Fasting plasma insulin concentration and area under the plasma insulin curve (AUC(ins)) of the OGTT (10.4 (6.2) microU/ml and 262 (152) microU/ml/h, respectively; mean (SD)) in the rapid growth group were significantly higher than those in the slow growth group (7.6 (4.3) and 146 (140), respectively) (p=0.041 and p=0.0006, respectively). In contrast, fasting plasma glucose concentration and area under the plasma glucose curve (AUC(gluc)) in the rapid growth group were significantly lower than those in the slow growth group (p=0.0003 and p=0.0012, respectively). Univariate and multivariate analyses of logistic regression models demonstrated that AUC(ins) was a significant factor contributing to the growth rate of HCC (p=0.001 and p=0.016, respectively). AUC(ins) significantly decreased after octreotide treatment (p<0.02) but AUC(gluc) did not significantly change. DT after treatment increased in three of the five patients and could not be calculated in the remaining two patients because of no change in the diameter of the tumour. CONCLUSIONS These data suggest that postprandial hyperinsulinaemia is associated with accelerated HCC growth.
Collapse
Affiliation(s)
- K Saito
- Second Department of Internal Medicine, Yamagata University School of Medicine, Yamagata 990-9585, Japan
| | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|