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Du H, Li D, Molive LM, Wu N. Advances in free fatty acid profiles in gestational diabetes mellitus. J Transl Med 2024; 22:180. [PMID: 38374136 PMCID: PMC10875910 DOI: 10.1186/s12967-024-04922-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Accepted: 01/21/2024] [Indexed: 02/21/2024] Open
Abstract
The morbidity of gestational diabetes mellitus (GDM) is increasing and is associated with adverse perinatal outcomes and long-term maternal and infant health. The exact mechanism underlying changes in plasma free fatty acid (FFA) profiles in patients with GDM is unknown. However, it is believed that changes in diet and lipid metabolism may play a role. Fatty acids contain many specific FFAs, and the type of FFA has different impacts on physiological processes; hence, determining changes in FFAs in individual plasma is essential. Alterations in FFA concentration or profile may facilitate insulin resistance. Additionally, some FFAs show potential to predict GDM in early pregnancy and are strongly associated with the growth and development of the fetus and occurrence of macrosomia. Here, we aimed to review changes in FFAs in women with GDM and discuss the relationship of FFAs with GDM incidence and adverse outcomes.
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Affiliation(s)
- Haoyi Du
- Department of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, 110004, People's Republic of China
| | - Danyang Li
- Department of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, 110004, People's Republic of China
| | - Laura Monjowa Molive
- Department of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, 110004, People's Republic of China
| | - Na Wu
- Department of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, 110004, People's Republic of China.
- Medical Department, Shengjing Hospital of China Medical University, Liaoning Province, Shenyang, People's Republic of China.
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Maternal Weight Gain during Pregnancy and the Developing Autonomic Nervous System-Possible Impact of GDM. Nutrients 2022; 14:nu14245220. [PMID: 36558379 PMCID: PMC9784678 DOI: 10.3390/nu14245220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 12/02/2022] [Accepted: 12/05/2022] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVE The intrauterine environment is known to affect the offspring's long-term risk for obesity and diabetes. Previous data show that maternal metabolism and gestational weight gain (GWG) are associated with fetal autonomic nervous system (ANS) function, which can be assessed with heart rate variability (HRV). We investigated whether this association is also present in 2-year-old children and addressed the impact of gestational diabetes (GDM). RESEARCH DESIGN AND METHODS We examined the 2-year-old offspring of mothers who had undergone a 5-point, 75 g oral glucose tolerance test during pregnancy. To assess HRV, a 10-minute ECG was recorded, and time domain and frequency domain parameters were analyzed. Body composition was assessed using bioelectrical impedance testing. RESULTS We examined 67 children (33 girls, 34 boys), 30 of whom were born to mothers with treated GDM and normoglycemic pregnancies (NGT), respectively. No differences were found between the groups with regard to birth weight, weight at the age of 2 years, and body fat content. We observed that GWG was associated with heart rate and HRV, indicating that children of mothers with low GWG had a lower parasympathetic tone. This association was detected in NGT-exposed-but not in GDM-exposed-children. HR and HRV correlated with body fat and fat-free mass in children from normoglycemic pregnancies only. CONCLUSION We found that the impact of maternal GWG on offspring ANS function was missing in the presence of treated GDM. The balance of the ANS was related to offspring body composition in children from NGT pregnancies only. Our results suggest that maternal weight gain during pregnancy has a critical impact on the developing ANS, which might be disturbed in the presence of GDM.
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Doll SK, Haimerl P, Bartel A, Arlt SP. Determination of reference intervals for nonesterified fatty acids in the blood serum of healthy dogs. Vet Rec Open 2022; 9:e40. [PMID: 35903267 PMCID: PMC9313937 DOI: 10.1002/vro2.40] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 05/24/2022] [Accepted: 07/05/2022] [Indexed: 01/23/2023] Open
Abstract
Background Nonesterified fatty acids (NEFAs) are an important energy substrate in mammals. Measurement of the NEFA concentration in blood serum is common practice and enables reliable detection of a negative energy balance in several species. This parameter can be used to detect subclinical metabolic diseases or to optimise feeding to prevent severe negative energy balance. Since no reference values for dogs have been published, the aim of this study was to establish such values. Methods Blood serum from 85 healthy dogs was examined with a multiparameter clinical chemistry analyser. Given that NEFA values are not usually normally distributed, reference intervals (RIs) were calculated nonparametrically using bootstrapping (5000 replicates) for the 90% confidence intervals. Results The examined cohort had a median age of 62.16 months (2-180 months) and a median weight of 19.2 kg (3.0-55.0 kg) and comprised 27 (31.8%) males and 58 (68.2%) females, with 32 (37.6%) neutered or spayed. The fasting time was 5.9 h (range 0-23 h). The tested confounders age, sex, neuter status, bodyweight and body condition score did not significantly affect the NEFA concentrations. Conclusions The NEFA RI for dogs in this study was 0.2-1.47 mmol/L. The results may be used to adjust food composition and amount in healthy dogs or to detect metabolic disorders. Further research on NEFA metabolism in dogs maintained in standardised conditions and in specific nutritional situations or with particular diseases is warranted.
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Affiliation(s)
- Sophie‐Charlotte K. Doll
- Clinic for Animal ReproductionFaculty of Veterinary MedicineFreie Universität BerlinBerlinGermany
| | - Peggy Haimerl
- Clinic for Animal ReproductionFaculty of Veterinary MedicineFreie Universität BerlinBerlinGermany
| | - Alexander Bartel
- Institute for Veterinary Epidemiology and BiostatisticsFaculty of Veterinary MedicineFreie Universität BerlinBerlinGermany
| | - Sebastian P. Arlt
- Clinic for Animal ReproductionFaculty of Veterinary MedicineFreie Universität BerlinBerlinGermany
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Vosseler A, Machann J, Fritsche L, Prystupa K, Kübler C, Häring HU, Birkenfeld AL, Stefan N, Peter A, Fritsche A, Wagner R, Heni M. Interscapular fat is associated with impaired glucose tolerance and insulin resistance independent of visceral fat mass. Obesity (Silver Spring) 2022; 30:2233-2241. [PMID: 36192827 DOI: 10.1002/oby.23554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 06/24/2022] [Accepted: 07/11/2022] [Indexed: 11/10/2022]
Abstract
OBJECTIVE Dysregulated body fat distribution is a major determinant of various diseases. In particular, increased visceral fat mass and ectopic lipids in the liver are linked to metabolic disorders such as insulin resistance and type 2 diabetes. Furthermore, interscapular fat is considered to be a metabolically active fat compartment. METHODS This study measured interscapular fat mass and investigated its relationship with glucose metabolism in 822 individuals with a wide range of BMI values and different glucose tolerance statuses. Magnetic resonance imaging was used to quantify body fat depots, and an oral glucose tolerance test was performed to determine glucose metabolism. RESULTS Elevated interscapular fat mass was positively associated with age, BMI, and total body, visceral, and subcutaneous adipose tissue mass. High interscapular fat mass associated with elevated fasting glucose levels, glucose levels at 2 hours during the oral glucose tolerance test, glycated hemoglobin, and insulin resistance, independent of sex, age, and total body and visceral fat mass. CONCLUSIONS In conclusion, interscapular fat might be a highly specific fat compartment with a potential impact on glucose metabolism and the pathogenesis of diabetes mellitus.
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Affiliation(s)
- Andreas Vosseler
- Department of Internal Medicine, Division of Diabetology, Endocrinology and Nephrology, University Hospital Tübingen, Tübingen, Germany
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Jürgen Machann
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Section of Experimental Radiology, Department of Diagnostic and Interventional Radiology, University Hospital Tübingen, Tübingen, Germany
| | - Louise Fritsche
- Department of Internal Medicine, Division of Diabetology, Endocrinology and Nephrology, University Hospital Tübingen, Tübingen, Germany
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Katsiaryna Prystupa
- Department of Internal Medicine, Division of Diabetology, Endocrinology and Nephrology, University Hospital Tübingen, Tübingen, Germany
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Christian Kübler
- Department of Internal Medicine, Division of Diabetology, Endocrinology and Nephrology, University Hospital Tübingen, Tübingen, Germany
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Hans-Ulrich Häring
- Department of Internal Medicine, Division of Diabetology, Endocrinology and Nephrology, University Hospital Tübingen, Tübingen, Germany
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Andreas L Birkenfeld
- Department of Internal Medicine, Division of Diabetology, Endocrinology and Nephrology, University Hospital Tübingen, Tübingen, Germany
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Norbert Stefan
- Department of Internal Medicine, Division of Diabetology, Endocrinology and Nephrology, University Hospital Tübingen, Tübingen, Germany
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Andreas Peter
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute for Clinical Chemistry and Pathobiochemistry, Department for Diagnostic Laboratory Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Andreas Fritsche
- Department of Internal Medicine, Division of Diabetology, Endocrinology and Nephrology, University Hospital Tübingen, Tübingen, Germany
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Robert Wagner
- Department of Internal Medicine, Division of Diabetology, Endocrinology and Nephrology, University Hospital Tübingen, Tübingen, Germany
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
- Department of Endocrinology and Diabetology, Medical Faculty, Heinrich-Heine-University and University Hospital Düsseldorf, Düsseldorf, Germany
| | - Martin Heni
- Department of Internal Medicine, Division of Diabetology, Endocrinology and Nephrology, University Hospital Tübingen, Tübingen, Germany
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
- Division of Endocrinology and Diabetology, Department of Internal Medicine I, Ulm University Hospital, Ulm, Germany
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Fritsche L, Heni M, Eckstein SS, Hummel J, Schürmann A, Häring HU, Preißl H, Birkenfeld AL, Peter A, Fritsche A, Wagner R. Incretin Hypersecretion in Gestational Diabetes Mellitus. J Clin Endocrinol Metab 2022; 107:e2425-e2430. [PMID: 35180296 DOI: 10.1210/clinem/dgac095] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Indexed: 11/19/2022]
Abstract
CONTEXT Incretins are crucial stimulators of insulin secretion following food intake. Data on incretin secretion and action during pregnancy are sparse. OBJECTIVE The aim of the study was to investigate the incretin response during an oral glucose tolerance test (OGTT) in pregnant women with and without gestational diabetes mellitus (GDM). DESIGN We analyzed data from the ongoing observational PREG study (NCT04270578). SETTING The study was conducted at the University Hospital Tübingen. PARTICIPANTS We examined 167 women (33 with GDM) during gestational week 27 ± 2.2. INTERVENTION Subjects underwent 5-point OGTT with a 75-g glucose load. MAIN OUTCOME MEASURES We assessed insulin secretion and levels of total glucagon-like peptide-1 (GLP-1), glucose-dependent insulinotropic peptide (GIP), glicentin, and glucagon during OGTT. Linear regression was used to analyze the relation of GLP-1 and glucose with insulin secretion and the association of incretin levels on birth outcome. RESULTS Insulin secretion was significantly lower in women with GDM (P < 0.001). Postload GLP-1 and GIP were ~20% higher in women with GDM (all P < 0.05) independent of age, body mass index, and gestational age. GLP-1 increase was associated with insulin secretion only in GDM, but not in normal glucose tolerance. Postprandial GLP-1 levels were negatively associated with birth weight. CONCLUSIONS The more pronounced GLP-1 increase in women with GDM could be part of a compensatory mechanism counteracting GLP-1 resistance. Higher GLP-1 levels might be protective against fetal overgrowth.
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Affiliation(s)
- Louise Fritsche
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, 72076 Tübingen, Germany
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Martin Heni
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, 72076 Tübingen, Germany
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
- Department of Internal Medicine, Division of Endocrinology, Diabetology and Nephrology, Eberhard Karls University Tübingen, 72076 Tübingen, Germany
- Institute for Clinical Chemistry and Pathobiochemistry, Department for Diagnostic Laboratory Medicine, University Hospital Tübingen, 72076 Tübingen, Germany
| | - Sabine S Eckstein
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, 72076 Tübingen, Germany
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Julia Hummel
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, 72076 Tübingen, Germany
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Anette Schürmann
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
- German Institute of Human Nutrition, 14558 Potsdam-Rehbrücke, Germany
| | - Hans-Ulrich Häring
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, 72076 Tübingen, Germany
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
- Department of Internal Medicine, Division of Endocrinology, Diabetology and Nephrology, Eberhard Karls University Tübingen, 72076 Tübingen, Germany
| | - Hubert Preißl
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, 72076 Tübingen, Germany
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Andreas L Birkenfeld
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, 72076 Tübingen, Germany
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
- Department of Internal Medicine, Division of Endocrinology, Diabetology and Nephrology, Eberhard Karls University Tübingen, 72076 Tübingen, Germany
| | - Andreas Peter
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, 72076 Tübingen, Germany
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
- Institute for Clinical Chemistry and Pathobiochemistry, Department for Diagnostic Laboratory Medicine, University Hospital Tübingen, 72076 Tübingen, Germany
| | - Andreas Fritsche
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, 72076 Tübingen, Germany
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
- Department of Internal Medicine, Division of Endocrinology, Diabetology and Nephrology, Eberhard Karls University Tübingen, 72076 Tübingen, Germany
| | - Robert Wagner
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, 72076 Tübingen, Germany
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
- Department of Internal Medicine, Division of Endocrinology, Diabetology and Nephrology, Eberhard Karls University Tübingen, 72076 Tübingen, Germany
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Hudak S, Huber P, Lamprinou A, Fritsche L, Stefan N, Peter A, Birkenfeld AL, Fritsche A, Heni M, Wagner R. Reproducibility and discrimination of different indices of insulin sensitivity and insulin secretion. PLoS One 2021; 16:e0258476. [PMID: 34679116 PMCID: PMC8549015 DOI: 10.1371/journal.pone.0258476] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Accepted: 09/24/2021] [Indexed: 01/20/2023] Open
Abstract
AIMS Insulin sensitivity and insulin secretion can be estimated by multiple indices from fasting blood samples or blood samples obtained during oral glucose tolerance tests. The test-retest reliability of these indices in repeated measurements within the same individuals can strongly vary. METHODS We analyzed data of persons without diabetes who underwent two repeated OGTTs. For each measurement pair, we calculated multiple commonly used indices for the assessment of insulin secretion and insulin sensitivity. We then evaluated the coefficient of variation (standard deviation/mean) and discriminant ratio for each index. RESULTS 89 persons underwent two OGTTs with a median interval of 86 days (IQR 64-249). Among indices of insulin sensitivity derived from fasting blood samples, the revised quantitative insulin sensitivity check index had the smallest coefficient of variation (2.8 ± 2.1%) whereas the C-peptide based homeostasis model assessment 2 had the highest discriminant ratio (1.97 (1.65-2.39)). As for insulin sensitivity indices that are based on OGTT, the oral glucose insulin sensitivity index had the smallest coefficient of variation (6.5 ± 5.1%). The highest discriminant ratio was found for the non-esterified fatty acids-based insulin sensitivity index (NEFA-ISI, 2.70 (2.30-3.22)). For the assessment of insulin secretion from fasting variables, the lowest mean coefficient of variation was found for C-peptide based homeostasis model assessment 2 beta with 10.8 ± 8% and the highest discriminant ratio for the C-peptide / Glucose-Ratio (2.18 (1.84-2.63)). Among indices assessing insulin secretion from an OGTT, the lowest coefficient of variation was found for the ratio of the areas under the C-peptide and glucose curves from 0 to 120 minutes with 11.3 ± 9.7%. CONCLUSION The data reveal large differences in the reproducibility and the discrimination capability of different indices that assess insulin sensitivity or insulin secretion. Our findings can aid the selection of an appropriate index in clinical studies.
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Affiliation(s)
- Sarah Hudak
- Division of Endocrinology, Diabetology and Nephrology, Department of Internal Medicine, University of Tuebingen, Tuebingen, Baden-Wuerttemberg, Germany
- Institute for Diabetes Research and Metabolic Diseases (IDM), Helmholtz Center Munich, University of Tuebingen, Tuebingen, Baden-Wuerttemberg, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - Philipp Huber
- Division of Endocrinology, Diabetology and Nephrology, Department of Internal Medicine, University of Tuebingen, Tuebingen, Baden-Wuerttemberg, Germany
- Institute for Diabetes Research and Metabolic Diseases (IDM), Helmholtz Center Munich, University of Tuebingen, Tuebingen, Baden-Wuerttemberg, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - Apostolia Lamprinou
- Division of Endocrinology, Diabetology and Nephrology, Department of Internal Medicine, University of Tuebingen, Tuebingen, Baden-Wuerttemberg, Germany
- Institute for Diabetes Research and Metabolic Diseases (IDM), Helmholtz Center Munich, University of Tuebingen, Tuebingen, Baden-Wuerttemberg, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - Louise Fritsche
- Institute for Diabetes Research and Metabolic Diseases (IDM), Helmholtz Center Munich, University of Tuebingen, Tuebingen, Baden-Wuerttemberg, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - Norbert Stefan
- Division of Endocrinology, Diabetology and Nephrology, Department of Internal Medicine, University of Tuebingen, Tuebingen, Baden-Wuerttemberg, Germany
- Institute for Diabetes Research and Metabolic Diseases (IDM), Helmholtz Center Munich, University of Tuebingen, Tuebingen, Baden-Wuerttemberg, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - Andreas Peter
- Institute for Diabetes Research and Metabolic Diseases (IDM), Helmholtz Center Munich, University of Tuebingen, Tuebingen, Baden-Wuerttemberg, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
- Department for Diagnostic Laboratory Medicine, Institute for Clinical Chemistry and Pathobiochemistry, University Hospital Tuebingen, Tuebingen, Baden-Wuerttemberg, Germany
| | - Andreas L. Birkenfeld
- Division of Endocrinology, Diabetology and Nephrology, Department of Internal Medicine, University of Tuebingen, Tuebingen, Baden-Wuerttemberg, Germany
- Institute for Diabetes Research and Metabolic Diseases (IDM), Helmholtz Center Munich, University of Tuebingen, Tuebingen, Baden-Wuerttemberg, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - Andreas Fritsche
- Division of Endocrinology, Diabetology and Nephrology, Department of Internal Medicine, University of Tuebingen, Tuebingen, Baden-Wuerttemberg, Germany
- Institute for Diabetes Research and Metabolic Diseases (IDM), Helmholtz Center Munich, University of Tuebingen, Tuebingen, Baden-Wuerttemberg, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - Martin Heni
- Division of Endocrinology, Diabetology and Nephrology, Department of Internal Medicine, University of Tuebingen, Tuebingen, Baden-Wuerttemberg, Germany
- Institute for Diabetes Research and Metabolic Diseases (IDM), Helmholtz Center Munich, University of Tuebingen, Tuebingen, Baden-Wuerttemberg, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
- Department for Diagnostic Laboratory Medicine, Institute for Clinical Chemistry and Pathobiochemistry, University Hospital Tuebingen, Tuebingen, Baden-Wuerttemberg, Germany
| | - Robert Wagner
- Division of Endocrinology, Diabetology and Nephrology, Department of Internal Medicine, University of Tuebingen, Tuebingen, Baden-Wuerttemberg, Germany
- Institute for Diabetes Research and Metabolic Diseases (IDM), Helmholtz Center Munich, University of Tuebingen, Tuebingen, Baden-Wuerttemberg, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
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Slow deep breathing modulates cardiac vagal activity but does not affect peripheral glucose metabolism in healthy men. Sci Rep 2021; 11:20306. [PMID: 34645853 PMCID: PMC8514507 DOI: 10.1038/s41598-021-99183-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 08/23/2021] [Indexed: 12/11/2022] Open
Abstract
Parasympathetic nervous system innervates peripheral organs including pancreas, hepatic portal system, and gastrointestinal tract. It thereby contributes to the regulation of whole-body glucose metabolism especially in the postprandial state when it promotes secretion of insulin and enhances its action in major target organs. We now aimed to evaluate the effect of parasympathetic modulation on human glucose metabolism. We used slow deep breathing maneuvers to activate the parasympathetic nervous system and tested for effects on metabolism during an oral glucose tolerance test in a randomized, controlled, cross-over trial in 15 healthy young men. We used projections towards the heart as a readout for parasympathetic activity. When analyzing heart rate variability, there was a significant increase of RMSSD (root mean square of successive differences) when participants performed slow deep breathing compared to the control condition, indicating a modulation of parasympathetic activity. However, no statistically significant effects on peripheral glucose metabolism or energy expenditure after the glucose tolerance test were detected. Of note, we detected a significant association between mean heart rate and serum insulin and C-peptide concentrations. While we did not find major effects of slow deep breathing on glucose metabolism, our correlational results suggest a link between the autonomic nervous system and insulin secretion after oral glucose intake. Future studies need to unravel involved mechanisms and develop potential novel treatment approaches for impaired insulin secretion in diabetes.
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Lamprinou A, Willmann C, Machann J, Schick F, Eckstein SS, Dalla Man C, Visentin R, Birkenfeld AL, Peter A, Stefan N, Häring HU, Fritsche A, Heni M, Wagner R. Determinants of hepatic insulin clearance - Results from a Mendelian Randomization study. Metabolism 2021; 119:154776. [PMID: 33862045 DOI: 10.1016/j.metabol.2021.154776] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 04/07/2021] [Accepted: 04/08/2021] [Indexed: 11/22/2022]
Abstract
AIMS/HYPOTHESIS Besides insulin resistance, type 2 diabetes associates with decreased hepatic insulin clearance (HIC). We now tested for causal relationship of HIC to liver fat accumulation or features of the metabolic syndrome. METHODS HIC was derived from oral glucose tolerance tests with the "Oral C-peptide and Insulin Minimal Models" (n = 3311). Liver fat was quantified by magnetic resonance spectroscopy (n = 1211). Mendelian Randomization was performed using established single nucleotide polymorphisms (SNPs; 115 for liver fat, 155 alanine-aminotransferase, 37 insulin sensitivity, 37 insulin secretion, 72 fasting insulin, 5285 BMI, 163 visceral fat, 270 waist circumference, 442 triglycerides, 620 HDL-Cholesterol, 193 C-reactive protein, 53 lipodystrophy-like phenotypes). RESULTS HIC associated inversely with liver fat (p < 0.003) and insulin sensitivity (p < 0.0001). Both liver fat and HIC were independently associated with insulin sensitivity (p < 0.0001). Neither liver fat nor alanine-aminotransferase were causally linked to HIC, as indicated by Mendelian Randomization (Nliver fat = 1054, NHIC = 2254; Nalanineaminotranferase = 1985, NHIC = 2251). BMI-related SNPs were causally associated with HIC (NBMI = 2772, NHIC = 2259, p < 0.001) but not waist circumference-SNPs (NSNPs-waist circumference = 2751, NHIC = 2280). Genetically determined insulin sensitivity was not causally related to HIC (Ninsulin sensitivity = 2752, NHIC = 2286). C-reactive protein and HDL were causally associated with HIC, with higher C-reactive protein and lower HDL leading to higher HIC (NC-reactive protein = 2660, NHIC = 2240; NHDL = 2694, NHIC = 2275). CONCLUSIONS This Mendelian Randomization analysis does not support a causal link between hepatic steatosis and HIC. Other components of the metabolic syndrome seem to compensate peripheral hyperinsulinemia by increasing hepatic insulin extraction.
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Affiliation(s)
- Apostolia Lamprinou
- Department of Internal Medicine IV, Division of Endocrinology, Diabetology and Nephrology, University Hospital of Tübingen, Tübingen, Germany; Institute of Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen (IDM), Tübingen, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Caroline Willmann
- Department of Internal Medicine IV, Division of Endocrinology, Diabetology and Nephrology, University Hospital of Tübingen, Tübingen, Germany; Institute of Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen (IDM), Tübingen, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Jürgen Machann
- Institute of Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen (IDM), Tübingen, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany; Section on Experimental Radiology, Department of Diagnostic and Interventional Radiology, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Fritz Schick
- Institute of Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen (IDM), Tübingen, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany; Section on Experimental Radiology, Department of Diagnostic and Interventional Radiology, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Sabine S Eckstein
- Institute of Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen (IDM), Tübingen, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Chiara Dalla Man
- Department of Information Engineering, University of Padua, Padua, Italy
| | - Roberto Visentin
- Department of Information Engineering, University of Padua, Padua, Italy
| | - Andreas L Birkenfeld
- Department of Internal Medicine IV, Division of Endocrinology, Diabetology and Nephrology, University Hospital of Tübingen, Tübingen, Germany; Institute of Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen (IDM), Tübingen, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Andreas Peter
- Institute of Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen (IDM), Tübingen, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany; Department for Diagnostic Laboratory Medicine, Institute for Clinical Chemistry and Pathobiochemistry, University Hospital of Tübingen, Tübingen, Germany
| | - Norbert Stefan
- Department of Internal Medicine IV, Division of Endocrinology, Diabetology and Nephrology, University Hospital of Tübingen, Tübingen, Germany; Institute of Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen (IDM), Tübingen, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Hans-Ulrich Häring
- Institute of Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen (IDM), Tübingen, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Andreas Fritsche
- Department of Internal Medicine IV, Division of Endocrinology, Diabetology and Nephrology, University Hospital of Tübingen, Tübingen, Germany; Institute of Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen (IDM), Tübingen, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Martin Heni
- Department of Internal Medicine IV, Division of Endocrinology, Diabetology and Nephrology, University Hospital of Tübingen, Tübingen, Germany; Institute of Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen (IDM), Tübingen, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Robert Wagner
- Department of Internal Medicine IV, Division of Endocrinology, Diabetology and Nephrology, University Hospital of Tübingen, Tübingen, Germany; Institute of Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen (IDM), Tübingen, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany.
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9
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Wagner R, Heni M, Tabák AG, Machann J, Schick F, Randrianarisoa E, Hrabě de Angelis M, Birkenfeld AL, Stefan N, Peter A, Häring HU, Fritsche A. Pathophysiology-based subphenotyping of individuals at elevated risk for type 2 diabetes. Nat Med 2021; 27:49-57. [PMID: 33398163 DOI: 10.1038/s41591-020-1116-9] [Citation(s) in RCA: 180] [Impact Index Per Article: 60.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Accepted: 10/01/2020] [Indexed: 12/13/2022]
Abstract
The state of intermediate hyperglycemia is indicative of elevated risk of developing type 2 diabetes1. However, the current definition of prediabetes neither reflects subphenotypes of pathophysiology of type 2 diabetes nor is predictive of future metabolic trajectories. We used partitioning on variables derived from oral glucose tolerance tests, MRI-measured body fat distribution, liver fat content and genetic risk in a cohort of extensively phenotyped individuals who are at increased risk for type 2 diabetes2,3 to identify six distinct clusters of subphenotypes. Three of the identified subphenotypes have increased glycemia (clusters 3, 5 and 6), but only individuals in clusters 5 and 3 have imminent diabetes risks. By contrast, those in cluster 6 have moderate risk of type 2 diabetes, but an increased risk of kidney disease and all-cause mortality. Findings were replicated in an independent cohort using simple anthropomorphic and glycemic constructs4. This proof-of-concept study demonstrates that pathophysiological heterogeneity exists before diagnosis of type 2 diabetes and highlights a group of individuals who have an increased risk of complications without rapid progression to overt type 2 diabetes.
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Affiliation(s)
- Robert Wagner
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany.
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany.
- Department of Internal Medicine, Division of Diabetology, Endocrinology and Nephrology, Eberhard-Karls University Tübingen, Tübingen, Germany.
| | - Martin Heni
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
- Department of Internal Medicine, Division of Diabetology, Endocrinology and Nephrology, Eberhard-Karls University Tübingen, Tübingen, Germany
- Institute for Clinical Chemistry and Pathobiochemistry, Department for Diagnostic Laboratory Medicine, University Hospital of Tübingen, Tübingen, Germany
| | - Adam G Tabák
- Department of Epidemiology and Public Health, University College London, London, UK
- Department of Internal Medicine and Oncology, Semmelweis University Faculty of Medicine, Budapest, Hungary
- Department of Public Health, Semmelweis University Faculty of Medicine, Budapest, Hungary
| | - Jürgen Machann
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
- University Department of Radiology, Section on Experimental Radiology, Eberhard-Karls University Tübingen, Tübingen, Germany
| | - Fritz Schick
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
- University Department of Radiology, Section on Experimental Radiology, Eberhard-Karls University Tübingen, Tübingen, Germany
| | - Elko Randrianarisoa
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
| | - Martin Hrabě de Angelis
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
- Institute of Experimental Genetics and German Mouse Clinic, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Experimental Genetics, TUM School of Life Sciences (SoLS), Technische Universität München, Freising, Germany
| | - Andreas L Birkenfeld
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
- Department of Internal Medicine, Division of Diabetology, Endocrinology and Nephrology, Eberhard-Karls University Tübingen, Tübingen, Germany
| | - Norbert Stefan
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
- Department of Internal Medicine, Division of Diabetology, Endocrinology and Nephrology, Eberhard-Karls University Tübingen, Tübingen, Germany
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Andreas Peter
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
- Institute for Clinical Chemistry and Pathobiochemistry, Department for Diagnostic Laboratory Medicine, University Hospital of Tübingen, Tübingen, Germany
| | - Hans-Ulrich Häring
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
| | - Andreas Fritsche
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
- Department of Internal Medicine, Division of Diabetology, Endocrinology and Nephrology, Eberhard-Karls University Tübingen, Tübingen, Germany
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10
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Vosseler A, Zhao D, Fritsche L, Lehmann R, Kantartzis K, Small DM, Peter A, Häring HU, Birkenfeld AL, Fritsche A, Wagner R, Preißl H, Kullmann S, Heni M. No modulation of postprandial metabolism by transcutaneous auricular vagus nerve stimulation: a cross-over study in 15 healthy men. Sci Rep 2020; 10:20466. [PMID: 33235256 PMCID: PMC7686306 DOI: 10.1038/s41598-020-77430-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Accepted: 10/29/2020] [Indexed: 12/13/2022] Open
Abstract
Experimental evidence suggests a crucial role of the autonomic nervous system in whole body metabolism with major regulatory effects of the parasympathetic branch in postprandial adaptation. However, the relative contribution of this mechanism is still not fully clear in humans. We therefore compared the effects of transcutaneous auricular vagus nerve stimulation (taVNS, Cerbomed Nemos) with sham stimulation during an oral glucose tolerance test in a randomized, single-blind, cross-over design in 15 healthy lean men. Stimulation was performed for 150 min, 30 min before and during the entire oral glucose tolerance test with stimulation cycles of 30 s of on-phase and 30 s of off-phase and a 25 Hz impulse. Heart rate variability and plasma catecholamine levels were assessed as proxies of autonomic tone in the periphery. Neither analyzed heart rate variability parameters nor plasma catecholamine levels were significantly different between the two conditions. Plasma glucose, insulin sensitivity and insulin secretion were also comparable between conditions. Thus, the applied taVNS device or protocol was unable to achieve significant effects on autonomic innervation in peripheral organs. Accordingly, glucose metabolism remained unaltered. Therefore, alternative approaches are necessary to investigate the importance of the autonomic nervous system in postprandial human metabolism.
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Affiliation(s)
- Andreas Vosseler
- Department of Internal Medicine IV, Division of Diabetology, Endocrinology and Nephrology, University Hospital Tübingen, Otfried-Müller-Str. 10, 72076, Tübingen, Germany.,Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany.,German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
| | - Dongxing Zhao
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany
| | - Louise Fritsche
- Department of Internal Medicine IV, Division of Diabetology, Endocrinology and Nephrology, University Hospital Tübingen, Otfried-Müller-Str. 10, 72076, Tübingen, Germany.,Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany.,German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
| | - Rainer Lehmann
- Institute for Clinical Chemistry and Pathobiochemistry, Department for Diagnostic Laboratory Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Konstantinos Kantartzis
- Department of Internal Medicine IV, Division of Diabetology, Endocrinology and Nephrology, University Hospital Tübingen, Otfried-Müller-Str. 10, 72076, Tübingen, Germany.,Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany.,German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
| | - Dana M Small
- Modern Diet and Physiology Research Center, Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Andreas Peter
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany.,Institute for Clinical Chemistry and Pathobiochemistry, Department for Diagnostic Laboratory Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Hans-Ulrich Häring
- Department of Internal Medicine IV, Division of Diabetology, Endocrinology and Nephrology, University Hospital Tübingen, Otfried-Müller-Str. 10, 72076, Tübingen, Germany.,Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany.,German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
| | - Andreas L Birkenfeld
- Department of Internal Medicine IV, Division of Diabetology, Endocrinology and Nephrology, University Hospital Tübingen, Otfried-Müller-Str. 10, 72076, Tübingen, Germany.,Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany.,German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
| | - Andreas Fritsche
- Department of Internal Medicine IV, Division of Diabetology, Endocrinology and Nephrology, University Hospital Tübingen, Otfried-Müller-Str. 10, 72076, Tübingen, Germany.,Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany.,German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
| | - Robert Wagner
- Department of Internal Medicine IV, Division of Diabetology, Endocrinology and Nephrology, University Hospital Tübingen, Otfried-Müller-Str. 10, 72076, Tübingen, Germany.,Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany.,German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
| | - Hubert Preißl
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany.,German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
| | - Stephanie Kullmann
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany.,German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
| | - Martin Heni
- Department of Internal Medicine IV, Division of Diabetology, Endocrinology and Nephrology, University Hospital Tübingen, Otfried-Müller-Str. 10, 72076, Tübingen, Germany. .,Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany. .,German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany. .,Institute for Clinical Chemistry and Pathobiochemistry, Department for Diagnostic Laboratory Medicine, University Hospital Tübingen, Tübingen, Germany.
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11
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Willmann C, Brockmann K, Wagner R, Kullmann S, Preissl H, Schnauder G, Maetzler W, Gasser T, Berg D, Eschweiler GW, Metzger F, Fallgatter AJ, Häring HU, Fritsche A, Heni M. Insulin sensitivity predicts cognitive decline in individuals with prediabetes. BMJ Open Diabetes Res Care 2020; 8:8/2/e001741. [PMID: 33203727 PMCID: PMC7674089 DOI: 10.1136/bmjdrc-2020-001741] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 10/13/2020] [Accepted: 10/16/2020] [Indexed: 12/17/2022] Open
Abstract
INTRODUCTION Epidemiological studies indicate an association between type 2 diabetes and cognitive dysfunction that appear to start already in the prediabetic state. Although cross-sectional studies have linked insulin resistance to impaired cognition, the potential predictive value of insulin resistance has not yet been sufficiently studied longitudinally without confounding by overt diabetes (and its pharmacological treatment). RESEARCH DESIGN AND METHODS We investigated longitudinal data from participants of the 'Tübinger Evaluation of Risk Factors for Early Detection of Neurodegeneration' Study. Subjects underwent a neurocognitive assessment battery (CERAD Plus battery; Consortium to Establish a Registry for Alzheimer's Disease) at baseline and followed every 2 years (median follow-up 4.0 Q1-3: 2.2-4.3 years). Subjects within a pre-diabetic glycated hemoglobin range of 5.6%-6.5% underwent 5-point 75 g oral glucose tolerance tests (OGTTs) with assessment of insulin sensitivity and insulin secretion (n=175). Subjects with newly diagnosed diabetes mellitus or with major depressivity (Beck Depression Inventory >20) were excluded (n=15). Data were analyzed by mixed models using sex, age and glycemic trait as fixed effects. Subject and time since first measurement were used as random effects. RESULTS Insulin sensitivity was positively associated with the CERAD sum score (higher is better) in a time-dependent manner (p=0.0057). This result is mainly driven by a steeper decrease in the memory domain associated with lower insulin sensitivity (p=0.029). The interaction between age and insulin sensitivity was independent of glycemia (p=0.02). There was also no association between insulin secretion and cognition. CONCLUSIONS Insulin resistance rather than sole elevation of blood glucose predicts cognitive decline, specifically in the memory domain, in persons with prediabetes. Treatments of diabetes that improve insulin sensitivity might therefore have the potential to postpone or even prevent cognitive decline in patients with diabetes.
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Affiliation(s)
- Caroline Willmann
- Department of Internal Medicine IV, University Hospital of Tübingen, Tübingen, Germany
- Institute for Diabetes Research and Metabolic Diseases (IDM) of the Helmholtz Center Munich at the University of Tübingen, Helmholtz Center Munich, Tübingen, Germany
- German Centre for Diabetes Research (DZD), Neuherberg, Germany
| | - Kathrin Brockmann
- Department of Neurodegeneration and Hertie-Institute for Clinical Brain Research, Center of Neurology, University of Tübingen, Tübingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), University of Tübingen, Tübingen, Germany
| | - Robert Wagner
- Department of Internal Medicine IV, University Hospital of Tübingen, Tübingen, Germany
- Institute for Diabetes Research and Metabolic Diseases (IDM) of the Helmholtz Center Munich at the University of Tübingen, Helmholtz Center Munich, Tübingen, Germany
- German Centre for Diabetes Research (DZD), Neuherberg, Germany
| | - Stephanie Kullmann
- Institute for Diabetes Research and Metabolic Diseases (IDM) of the Helmholtz Center Munich at the University of Tübingen, Helmholtz Center Munich, Tübingen, Germany
- German Centre for Diabetes Research (DZD), Neuherberg, Germany
| | - Hubert Preissl
- Department of Internal Medicine IV, University Hospital of Tübingen, Tübingen, Germany
- Institute for Diabetes Research and Metabolic Diseases (IDM) of the Helmholtz Center Munich at the University of Tübingen, Helmholtz Center Munich, Tübingen, Germany
- German Centre for Diabetes Research (DZD), Neuherberg, Germany
- Institute for Diabetes and Obesity, Helmholtz Diabetes Centre at Helmholtz Zentrum München, German Research Centre for Environmental Health (GmbH), Neuherberg, Germany
- Department of Pharmacy and Biochemistry, Institute of Pharmaceutical Sciences, University of Tübingen, Tübingen, Germany
| | - Günter Schnauder
- Department of Internal Medicine IV, University Hospital of Tübingen, Tübingen, Germany
| | - Walter Maetzler
- Department of Neurology, Christian-Albrechts University, Kiel, Germany
| | - Thomas Gasser
- Department of Neurodegeneration and Hertie-Institute for Clinical Brain Research, Center of Neurology, University of Tübingen, Tübingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), University of Tübingen, Tübingen, Germany
| | - Daniela Berg
- Department of Neurodegeneration and Hertie-Institute for Clinical Brain Research, Center of Neurology, University of Tübingen, Tübingen, Germany
- Department of Neurology, Christian-Albrechts University, Kiel, Germany
| | - Gerhard W Eschweiler
- Department of Psychiatry and Psychotherapy, University Hospital Tübingen, Tübingen, Germany
- Geriatric Center at the University Hospital of Tübingen, Tübingen, Germany
| | - Florian Metzger
- Department of Psychiatry and Psychotherapy, University Hospital Tübingen, Tübingen, Germany
- Geriatric Center at the University Hospital of Tübingen, Tübingen, Germany
- Department of Psychiatry and Psychotherapy, Vitos Hospital Haina, Haina, Germany
| | - Andreas J Fallgatter
- Department of Psychiatry and Psychotherapy, University Hospital Tübingen, Tübingen, Germany
- Geriatric Center at the University Hospital of Tübingen, Tübingen, Germany
| | - Hans-Ulrich Häring
- Department of Internal Medicine IV, University Hospital of Tübingen, Tübingen, Germany
- Institute for Diabetes Research and Metabolic Diseases (IDM) of the Helmholtz Center Munich at the University of Tübingen, Helmholtz Center Munich, Tübingen, Germany
- German Centre for Diabetes Research (DZD), Neuherberg, Germany
| | - Andreas Fritsche
- Department of Internal Medicine IV, University Hospital of Tübingen, Tübingen, Germany
- Institute for Diabetes Research and Metabolic Diseases (IDM) of the Helmholtz Center Munich at the University of Tübingen, Helmholtz Center Munich, Tübingen, Germany
- German Centre for Diabetes Research (DZD), Neuherberg, Germany
| | - Martin Heni
- Department of Internal Medicine IV, University Hospital of Tübingen, Tübingen, Germany
- Institute for Diabetes Research and Metabolic Diseases (IDM) of the Helmholtz Center Munich at the University of Tübingen, Helmholtz Center Munich, Tübingen, Germany
- German Centre for Diabetes Research (DZD), Neuherberg, Germany
- Department for Diagnostic Laboratory Medicine, Institute for Clinical Chemistry and Pathobiochemistry, University Hospital Tübingen, Tübingen, Germany
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12
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Stopp T, Feichtinger M, Rosicky I, Yerlikaya-Schatten G, Ott J, Egarter HC, Schatten C, Eppel W, Husslein P, Mittlböck M, Tura A, Göbl CS. Novel Indices of Glucose Homeostasis Derived from Principal Component Analysis: Application for Metabolic Assessment in Pregnancy. J Diabetes Res 2020; 2020:4950584. [PMID: 32337294 PMCID: PMC7150715 DOI: 10.1155/2020/4950584] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Accepted: 03/12/2020] [Indexed: 11/20/2022] Open
Abstract
AIMS This study is aimed at assessing the association of previously developed indices of glucose homeostasis derived from principal component analysis (PCA) with parameters of insulin action, secretion, and beta cell function during pregnancy. METHODS In this prospective longitudinal study, an oral glucose tolerance test was performed in sixty-seven pregnant women at two prepartum (12+0 to 22+6 and 24+0 to 28+6) and one postpartum (2 to 11 months) visits. Three principal component scores (PCS) were calculated based on measurements of glucose, insulin, C-peptide, age, and BMI to assess their association with fasting and dynamic indices of insulin action, secretion, and β-cell function. RESULTS PCS1 was positively associated with fasting and dynamic parameters of insulin sensitivity (Matsuda index: r = 0.93, p < 0.001), whereas a strong negative association was observed for early, late, and total insulin response. PCS2 was associated with higher mean glucose but negatively related to parameters of insulin secretion. PCS3 was significantly associated with fasting indices of insulin sensitivity. PCS1 to 3 assessed at early pregnancy were also associated with development of GDM, whereby random forest analysis revealed the highest variable importance for PCS1. PCS1 to 3 were significantly related to the oral disposition index explaining 49.0% of its variance. CONCLUSIONS PCS1 to 3 behaved similarly as compared to previous observations in nonpregnant women and were furthermore associated with the development of GDM. These findings support our hypothesis that PCS1 to 3 could be used as novel indices of glucose disposal during pregnancy.
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Affiliation(s)
- Tina Stopp
- Department of Gynecology and Obstetrics, Division of Feto-Maternal Medicine, Medical University of Vienna, Vienna, Austria
| | - Michael Feichtinger
- Department of Gynecology and Obstetrics, Division of Feto-Maternal Medicine, Medical University of Vienna, Vienna, Austria
- Wunschbaby Institut Feichtinger, Vienna, Austria
| | - Ingo Rosicky
- Department of Gynecology and Obstetrics, Division of Feto-Maternal Medicine, Medical University of Vienna, Vienna, Austria
| | - Gülen Yerlikaya-Schatten
- Department of Gynecology and Obstetrics, Division of Feto-Maternal Medicine, Medical University of Vienna, Vienna, Austria
| | - Johannes Ott
- Department of Obstetrics and Gynecology, Division of Gynecologic Endocrinology and Reproductive Medicine, Medical University of Vienna, Vienna, Austria
| | - Hans Christian Egarter
- Department of Obstetrics and Gynecology, Division of Gynecologic Endocrinology and Reproductive Medicine, Medical University of Vienna, Vienna, Austria
| | - Christian Schatten
- Department of Gynecology and Obstetrics, Division of Feto-Maternal Medicine, Medical University of Vienna, Vienna, Austria
| | - Wolfgang Eppel
- Department of Gynecology and Obstetrics, Division of Feto-Maternal Medicine, Medical University of Vienna, Vienna, Austria
| | - Peter Husslein
- Department of Gynecology and Obstetrics, Division of Feto-Maternal Medicine, Medical University of Vienna, Vienna, Austria
| | - Martina Mittlböck
- Center of Medical Statistics, Informatics, and Intelligent Systems, Section for Clinical Biometrics, Medical University of Vienna, Vienna, Austria
| | - Andrea Tura
- Metabolic Unit, CNR Institute of Neuroscience, Padova, Italy
| | - Christian S. Göbl
- Department of Gynecology and Obstetrics, Division of Feto-Maternal Medicine, Medical University of Vienna, Vienna, Austria
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13
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Fritsche L, Sarief M, Wagner R, Stefan N, Lehmann R, Häring HU, Grallert H, Fritsche A, Lechner A. Genetic variation in TCF7L2 rs7903146 and history of GDM negatively and independently impact on diabetes-associated metabolic traits. Diabetes Res Clin Pract 2018; 146:251-257. [PMID: 30419301 DOI: 10.1016/j.diabres.2018.11.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Revised: 10/02/2018] [Accepted: 11/02/2018] [Indexed: 12/22/2022]
Abstract
AIMS Gestational diabetes (GDM) is recognized as a major risk factor for the development of type 2 diabetes (T2DM) later in life. Risk allele carriers at TCF7L2 rs7903146 have increased susceptibility for both GDM and T2DM. We hypothesized that carrying TCF7L2 risk alleles would further aggravate the negative impact of a positive history for GDM on metabolic traits related to T2DM later in life. METHODS 210 women with a confirmed history of gestational diabetes and 810 controls without evidence for GDM underwent standardized 75 g oral glucose tolerance tests (OGTT). Liver fat was quantified in a subset of subjects (n = 444) using magnetic resonance spectroscopy. RESULTS 504 women were homozygous or heterozygous risk allele carriers. The risk allele carriers had a higher risk for GDM (p = 0.0076, OR 1.52, 95% CI 1.11-2.06). Multivariable regression analysis demonstrated that both a history of GDM, or carrying a TCF7L2 risk allele resulted in lower insulin secretion, impaired proinsulin processing and higher fasting and 2-hour glucose levels. Liver fat content was not associated with either a history of GDM or a TCF7L2 risk genotype. There was no significant interaction (all p > 0.05) between history of GDM and TCF7L2 risk alleles on all diabetes-associated metabolic traits tested. CONCLUSION The TCF7L2 rs7903146 polymorphism is a risk factor for gestational diabetes. However, the additional presence of TCF7L2 rs7903146 risk alleles does not further aggravate the negative impact of a history of gestational diabetes on metabolic traits related to T2DM.
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Affiliation(s)
- Louise Fritsche
- Division of Endocrinology, Diabetology, Nephrology, Angiology and Clinical Chemistry, Eberhardt Karls University, Tuebingen, Germany; Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tuebingen (IDM), Tuebingen, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Mirjam Sarief
- German Center for Diabetes Research (DZD), Neuherberg, Germany; Diabetes Research Group, Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, Munich, Germany; Clinical Cooperation Group Type 2 Diabetes, Helmholtz Center Munich, Neuherberg, Germany
| | - Robert Wagner
- Division of Endocrinology, Diabetology, Nephrology, Angiology and Clinical Chemistry, Eberhardt Karls University, Tuebingen, Germany; Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tuebingen (IDM), Tuebingen, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Norbert Stefan
- Division of Endocrinology, Diabetology, Nephrology, Angiology and Clinical Chemistry, Eberhardt Karls University, Tuebingen, Germany; Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tuebingen (IDM), Tuebingen, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Rainer Lehmann
- Division of Endocrinology, Diabetology, Nephrology, Angiology and Clinical Chemistry, Eberhardt Karls University, Tuebingen, Germany; Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tuebingen (IDM), Tuebingen, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Hans-Ulrich Häring
- Division of Endocrinology, Diabetology, Nephrology, Angiology and Clinical Chemistry, Eberhardt Karls University, Tuebingen, Germany; Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tuebingen (IDM), Tuebingen, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Harald Grallert
- German Center for Diabetes Research (DZD), Neuherberg, Germany; Diabetes Research Group, Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, Munich, Germany; Research Unit of Molecular Epidemiology, Institute for Epidemiology II, Helmholtz Center Munich, Neuherberg, Germany
| | - Andreas Fritsche
- Division of Endocrinology, Diabetology, Nephrology, Angiology and Clinical Chemistry, Eberhardt Karls University, Tuebingen, Germany; Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tuebingen (IDM), Tuebingen, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany.
| | - Andreas Lechner
- German Center for Diabetes Research (DZD), Neuherberg, Germany; Diabetes Research Group, Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, Munich, Germany; Clinical Cooperation Group Type 2 Diabetes, Helmholtz Center Munich, Neuherberg, Germany
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14
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Spiller S, Blüher M, Hoffmann R. Plasma levels of free fatty acids correlate with type 2 diabetes mellitus. Diabetes Obes Metab 2018; 20:2661-2669. [PMID: 29943387 DOI: 10.1111/dom.13449] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Revised: 06/21/2018] [Accepted: 06/22/2018] [Indexed: 01/17/2023]
Abstract
AIMS Free fatty acids (FFA) mediate adverse metabolic effects such as downregulated carbohydrate metabolisms, providing causal links between obesity and the development of type 2 diabetes mellitus (T2DM). Here, we investigated the plasma concentrations of FFA alone and in combination with protein glycation as potential diagnostic and prognostic biomarkers of T2DM. MATERIALS AND METHODS EDTA-plasma obtained from 48 newly diagnosed male T2DM patients, 48 long-term controlled (24 male and 24 female) T2DM patients, 20 prediabetic male T2DM patients and two age-matched control cohorts (48 non-diabetic (ND) men; 24 male and 24 female ND partipants) were analysed for a set of clinical parameters including FFA. Glycation sites were quantified after tryptic digestion using tandem mass spectrometry. RESULTS Median plasma concentrations of FFA were almost three-fold higher in samples obtained from newly diagnosed (long-term controlled) T2DM patients than in those obtained from the control group, providing diagnostic sensitivity (SN) of 92% (85%) and specificity (SP) of 90% (88%). When combined with the glycation level of lysine-141 of haptoglobin, diagnostic accuracy improved further for newly diagnosed (SN, 94%; SP 96%) and long-term controlled (SN, 85%; SP, 94%) T2DM patients (HbA1c: SN, 88%; SP, 96%). A prospective pilot study evaluating the prognostic value revealed initially low FFA levels for pre-diabetic patients that increased in the following four years in patients whose prediabetic state worsened or who developed T2DM. CONCLUSIONS FFA levels are elevated in newly diagnosed and long-term controlled T2DM patients, providing high diagnostic accuracy of 87% and 91%, respectively, which improved further when combined with the glycation degree of lysine-141 in haptoglobin. Additionally, FFA showed higher mean fold-changes than HbA1c or FPG in subjects developing T2DM, indicating higher sensitivity towards the progression of the disease.
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Affiliation(s)
- Sandro Spiller
- Institute of Bioanalytical Chemistry, Faculty of Chemistry and Mineralogy, Universität Leipzig, Leipzig, Germany
- Center for Biotechnology and Biomedicine (BBZ), Universität Leipzig, Leipzig, Germany
| | - Matthias Blüher
- University Hospital Leipzig, Department of Internal Medicine, Endocrinology and Nephrology, Universität Leipzig, Leipzig, Germany
| | - Ralf Hoffmann
- Institute of Bioanalytical Chemistry, Faculty of Chemistry and Mineralogy, Universität Leipzig, Leipzig, Germany
- Center for Biotechnology and Biomedicine (BBZ), Universität Leipzig, Leipzig, Germany
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15
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Nachankar A, Kotwal N, Upreti V, Verma V, Hari Kumar KVS. Association of Vitamin D and Parathyroid Hormone with Insulin Sensitivity, Beta Cell Function and Gestational Diabetes in Pregnancy: A Cross-Sectional, Observational Study. Diabetes Ther 2018; 9:2081-2090. [PMID: 30206904 PMCID: PMC6167303 DOI: 10.1007/s13300-018-0508-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2018] [Indexed: 11/01/2022] Open
Abstract
INTRODUCTION Vitamin D (25OHD) and parathyroid hormone (PTH) are associated with dysglycemia, and we investigated them in gestational diabetes mellitus (GDM). METHODS In this cross-sectional, observational study, we included 75 pregnant women between 24 and 28 weeks of gestation. A fasting venous sample was collected for plasma glucose (FPG), insulin, PTH and 25OHD. Glucose and insulin samples were collected hourly after 75 g glucose load for 2 h. Insulin sensitivity was estimated by the Matsuda index (MI) and beta cell function by the insulin secretion sensitivity index (ISSI-2). The subjects were stratified into three groups and tertiles according to the 25OHD and PTH, respectively. Appropriate statistical tests were used to compare the MI, ISSI-2 and GDM among the groups. RESULTS GDM was seen in 14/75, and of these patients, 2 were 25OHD deficient, 7 insufficient and 5 had sufficient 25OHD. MI and ISSI-2, though not correlated with the 25OHD, decreased from the lower to higher PTH tertile (P < 0.001). FPG, AUCgluc (area under the curve glucose) and prevalence of GDM increased from the lower to higher PTH tertile (P < 0.001). CONCLUSION Increased PTH was associated with decreased insulin sensitivity, beta cell function and GDM in pregnancy, irrespective of the underlying 25OHD level.
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Affiliation(s)
- Amit Nachankar
- Department of Endocrinology, Army Hospital (R&R), Delhi Cantt, New Delhi, India
| | - Narendra Kotwal
- Department of Endocrinology, Army Hospital (R&R), Delhi Cantt, New Delhi, India
| | - Vimal Upreti
- Department of Endocrinology, Army Hospital (R&R), Delhi Cantt, New Delhi, India
| | - Vishesh Verma
- Department of Endocrinology, Army Hospital (R&R), Delhi Cantt, New Delhi, India
| | - K V S Hari Kumar
- Department of Endocrinology, Army Hospital (R&R), Delhi Cantt, New Delhi, India.
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16
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Roshanravan B, Zelnick LR, Djucovic D, Gu H, Alvarez JA, Ziegler TR, Gamboa JL, Utzschneider K, Kestenbaum B, Himmelfarb J, Kahn SE, Raftery D, de Boer IH. Chronic kidney disease attenuates the plasma metabolome response to insulin. JCI Insight 2018; 3:122219. [PMID: 30135309 DOI: 10.1172/jci.insight.122219] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Accepted: 07/03/2018] [Indexed: 12/19/2022] Open
Abstract
Chronic kidney disease (CKD) leads to decreased sensitivity to the metabolic effects of insulin, contributing to protein energy wasting and muscle atrophy. Targeted metabolomics profiling during hyperinsulinemic-euglycemic insulin clamp testing may help identify aberrant metabolic pathways contributing to insulin resistance in CKD. Using targeted metabolomics profiling, we examined the plasma metabolome in 95 adults without diabetes in the fasted state (58 with CKD, 37 with normal glomerular filtration rate [GFR]) who underwent hyperinsulinemic-euglycemic clamp. We assessed heterogeneity in fasting metabolites and the response to insulin to identify potential metabolic pathways linking CKD with insulin resistance. Baseline differences and effect modification by CKD status on changes with insulin clamp testing were adjusted for confounders. Mean GFR among participants with CKD was 37.3 compared with 89.3 ml/min per 1.73 m2 among controls. Fasted-state differences between CKD and controls included abnormalities in tryptophan metabolism, ubiquinone biosynthesis, and the TCA cycle. Insulin infusion markedly decreased metabolite levels, predominantly amino acids and their metabolites. CKD was associated with attenuated insulin-induced changes in nicotinamide, arachidonic acid, and glutamine/glutamate metabolic pathways. Metabolomics profiling suggests disruption in amino acid metabolism and mitochondrial function as putative manifestations or mechanisms of the impaired anabolic effects of insulin in CKD.
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Affiliation(s)
- Baback Roshanravan
- Division of Nephrology and Kidney Research Institute, University of Washington, Seattle, Washington, USA
| | - Leila R Zelnick
- Division of Nephrology and Kidney Research Institute, University of Washington, Seattle, Washington, USA
| | - Daniel Djucovic
- Anesthesiology and Pain Medicine, University of Washington, Seattle, Washington, USA
| | - Haiwei Gu
- Anesthesiology and Pain Medicine, University of Washington, Seattle, Washington, USA.,Center for Metabolic and Vascular Biology, School of Nutrition and Health Promotion, College of Health Solutions, Arizona State University, Phoenix, Arizona, USA
| | - Jessica A Alvarez
- Division of Endocrinology, Metabolism and Lipids, Emory University, Atlanta, Georgia, USA
| | - Thomas R Ziegler
- Division of Endocrinology, Metabolism and Lipids, Emory University, Atlanta, Georgia, USA
| | - Jorge L Gamboa
- Department of Clinical Pharmacology, Vanderbilt University, Nashville, Tennessee, USA
| | - Kristina Utzschneider
- Puget Sound Health Care System, Seattle, Washington, USA.,Division of Metabolism, Endocrinology, and Nutrition, University of Washington, Seattle, Washington, USA
| | - Bryan Kestenbaum
- Division of Nephrology and Kidney Research Institute, University of Washington, Seattle, Washington, USA
| | - Jonathan Himmelfarb
- Division of Nephrology and Kidney Research Institute, University of Washington, Seattle, Washington, USA
| | - Steven E Kahn
- Puget Sound Health Care System, Seattle, Washington, USA.,Division of Metabolism, Endocrinology, and Nutrition, University of Washington, Seattle, Washington, USA
| | - Daniel Raftery
- Anesthesiology and Pain Medicine, University of Washington, Seattle, Washington, USA
| | - Ian H de Boer
- Division of Nephrology and Kidney Research Institute, University of Washington, Seattle, Washington, USA.,Puget Sound Health Care System, Seattle, Washington, USA
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17
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Quintanilla-García CV, Uribarri J, Fajardo-Araujo ME, Barrientos-Romero JJ, Romero-Gutiérrez G, Reynaga-Ornelas MG, Garay-Sevilla ME. Changes in circulating levels of carboxymethyllysine, soluble receptor for advanced glycation end products (sRAGE), and inflammation markers in women during normal pregnancy. J Matern Fetal Neonatal Med 2018; 32:4102-4107. [PMID: 29804482 DOI: 10.1080/14767058.2018.1481948] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Objective: To determine the circulating levels of insulin, Nε-carboxymethyllysine (CML), soluble receptor for advanced glycation end products (sRAGE), and markers of inflammation and oxidative stress (OS) in maternal and umbilical cord blood in a cohort of healthy women with normal pregnancy.Methods: We conducted an observational longitudinal study in a group of women (n = 31; age range 18-39 years) with healthy pregnancy starting at 30 weeks of gestation and finishing at the time of delivery. We collected weight and height in the participants and their neonates and calculated body mass index (BMI). Blood from each patient was collected at 30th week of pregnancy and at delivery when a sample of cord blood was also obtained. Glucose, lipid profile, CML, sRAGE, malondialdehyde (MDA), tumor necrosis factor-α (TNF-α), highly sensitivity C-reactive protein (hsPCR), and insulin were determined. The study was approved by the University of Guanajuato Institutional Ethics Committee.Results: All pregnancies reached term (mean gestational time 38.9 ± 0.83 weeks) and there were no maternal complications. Mean age was 27.6 years. Lipid profile values were higher in the group compared with our values in nonpregnant women. During pregnancy, levels of insulin increased (p < .0006), CML (p < .0001) and sRAGE (p < .01) decreased, levels of MDA did not change, while those of TNF-α and hsPCR tended to increase. In the neonates, we found lower levels of CML (p < .003), hsPCR (p < .004), and insulin (p < .004) and higher levels of sRAGE (p < .013) and TNF-α (p < .022) compared to their mothers at delivery. In the total group, we found association of CML of the mother at baseline with the CML (p < .0006) and MDA (p < .002) in neonates, while maternal sRAGE at the end of pregnancy was associated with CML (p < .004) of their neonates.Conclusions: Our study confirms that normal pregnancy is accompanied by insulin resistance (IR) and significant increase in lipid profile, and demonstrates that circulating levels of CML and sRAGE decreased significantly at the end of pregnancy. The lack of association between the course of insulin levels and those of CML probably results from the predominant role of placental factors in the pathogenesis of IR in pregnancy. sRAGE levels in the neonates are markedly increased compared to their mothers suggesting a placental origin of this compound which may have a protective effect on the fetus since sRAGE restricts Advanced glycation end product (AGE) effects and may exert anti-inflammatory effects.
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Affiliation(s)
| | - Jaime Uribarri
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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18
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Insulin therapy and its consequences for the mother, foetus, and newborn in gestational diabetes mellitus. Biochim Biophys Acta Mol Basis Dis 2018; 1864:2949-2956. [PMID: 29890222 DOI: 10.1016/j.bbadis.2018.06.005] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Revised: 05/26/2018] [Accepted: 06/06/2018] [Indexed: 11/21/2022]
Abstract
Gestational diabetes mellitus (GDM) is a disease characterised by glucose intolerance and first diagnosed in pregnancy. This condition relates to an anomalous placental environment and aberrant placental vascular function. GDM-associated hyperglycaemia changes the placenta structure leading to abnormal development and functionality of this vital organ. Aiming to avoid the GDM-hyperglycaemia and its deleterious consequences in the mother, the foetus and newborn, women with GDM are firstly treated with a controlled diet therapy; however, some of the women fail to reach the recommended glycaemia values and therefore they are passed to the second line of treatment, i.e., insulin therapy. The several protocols available in the literature regarding insulin therapy are variable and not a clear consensus is yet reached. Insulin therapy restores maternal glycaemia, but this beneficial effect is not reflected in the foetus and newborn metabolism, suggesting that other factors than d-glucose may be involved in the pathophysiology of GDM. Worryingly, insulin therapy may cause alterations in the placenta and umbilical vessels as well as the foetus and newborn additional to those seen in pregnant women with GDM treated with diet. In this review, we summarised the variable information regarding indications and protocols for administration of the insulin therapy and the possible outcomes on the function and structure of the foetoplacental unit and the neonate parameters from women with GDM.
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19
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Babbar R, Heni M, Peter A, Hrabě de Angelis M, Häring HU, Fritsche A, Preissl H, Schölkopf B, Wagner R. Prediction of Glucose Tolerance without an Oral Glucose Tolerance Test. Front Endocrinol (Lausanne) 2018; 9:82. [PMID: 29615972 PMCID: PMC5868129 DOI: 10.3389/fendo.2018.00082] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2017] [Accepted: 02/22/2018] [Indexed: 12/13/2022] Open
Abstract
INTRODUCTION Impaired glucose tolerance (IGT) is diagnosed by a standardized oral glucose tolerance test (OGTT). However, the OGTT is laborious, and when not performed, glucose tolerance cannot be determined from fasting samples retrospectively. We tested if glucose tolerance status is reasonably predictable from a combination of demographic, anthropometric, and laboratory data assessed at one time point in a fasting state. METHODS Given a set of 22 variables selected upon clinical feasibility such as sex, age, height, weight, waist circumference, blood pressure, fasting glucose, HbA1c, hemoglobin, mean corpuscular volume, serum potassium, fasting levels of insulin, C-peptide, triglyceride, non-esterified fatty acids (NEFA), proinsulin, prolactin, cholesterol, low-density lipoprotein, HDL, uric acid, liver transaminases, and ferritin, we used supervised machine learning to estimate glucose tolerance status in 2,337 participants of the TUEF study who were recruited before 2012. We tested the performance of 10 different machine learning classifiers on data from 929 participants in the test set who were recruited after 2012. In addition, reproducibility of IGT was analyzed in 78 participants who had 2 repeated OGTTs within 1 year. RESULTS The most accurate prediction of IGT was reached with the recursive partitioning method (accuracy = 0.78). For all classifiers, mean accuracy was 0.73 ± 0.04. The most important model variable was fasting glucose in all models. Using mean variable importance across all models, fasting glucose was followed by NEFA, triglycerides, HbA1c, and C-peptide. The accuracy of predicting IGT from a previous OGTT was 0.77. CONCLUSION Machine learning methods yield moderate accuracy in predicting glucose tolerance from a wide set of clinical and laboratory variables. A substitution of OGTT does not currently seem to be feasible. An important constraint could be the limited reproducibility of glucose tolerance status during a subsequent OGTT.
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Affiliation(s)
- Rohit Babbar
- Department of Empirical Inference, Max Planck Institute for Intelligent Systems, Tübingen, Germany
- Aalto University, Helsinki, Finland
| | - Martin Heni
- Department of Internal Medicine IV, Division of Endocrinology, Diabetology, Nephrology, Vascular Disease and Clinical Chemistry, University Hospital of Tübingen, Tübingen, Germany
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen (IDM), Tübingen, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Andreas Peter
- Department of Internal Medicine IV, Division of Endocrinology, Diabetology, Nephrology, Vascular Disease and Clinical Chemistry, University Hospital of Tübingen, Tübingen, Germany
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen (IDM), Tübingen, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | | | - Hans-Ulrich Häring
- Department of Internal Medicine IV, Division of Endocrinology, Diabetology, Nephrology, Vascular Disease and Clinical Chemistry, University Hospital of Tübingen, Tübingen, Germany
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen (IDM), Tübingen, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Andreas Fritsche
- Department of Internal Medicine IV, Division of Endocrinology, Diabetology, Nephrology, Vascular Disease and Clinical Chemistry, University Hospital of Tübingen, Tübingen, Germany
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen (IDM), Tübingen, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Hubert Preissl
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen (IDM), Tübingen, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Pharmaceutical Sciences, Interfaculty Centre for Pharmacogenomics and Pharma Research, Department of Pharmacy and Biochemistry, University of Tübingen, Tübingen, Germany
| | - Bernhard Schölkopf
- Department of Empirical Inference, Max Planck Institute for Intelligent Systems, Tübingen, Germany
| | - Róbert Wagner
- Department of Internal Medicine IV, Division of Endocrinology, Diabetology, Nephrology, Vascular Disease and Clinical Chemistry, University Hospital of Tübingen, Tübingen, Germany
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen (IDM), Tübingen, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- *Correspondence: Róbert Wagner,
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20
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Geng X, Geng L, Zhang Y, Lu H, Shen Y, Chen R, Fang P, Tao M, Wang C, Jia W. Fetal sex influences maternal fasting plasma glucose levels and basal β-cell function in pregnant women with normal glucose tolerance. Acta Diabetol 2017; 54:1131-1138. [PMID: 29098391 DOI: 10.1007/s00592-017-1055-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2017] [Accepted: 09/18/2017] [Indexed: 11/30/2022]
Abstract
AIMS Fetal sex has recently emerged as a new factor that is related to maternal glucose homeostasis during pregnancy. The present study aimed to investigate the effect of fetal sex on maternal glucose metabolism in women with normal glucose tolerance (NGT) during pregnancy in the Chinese population. METHODS A total of 877 pregnant women with NGT were recruited at 24-28 weeks of gestation and underwent a 75-g oral glucose tolerance test (OGTT). Pregnant women were divided into two groups according to fetal sex. Physical examinations and laboratory tests were performed. Pancreatic β-cell function and insulin sensitivity were evaluated using OGTT-derived indices. RESULTS Compared with women bearing female fetuses, women who delivered male fetuses had higher fasting plasma glucose (FPG) concentrations [4.5 (4.2-4.8) vs. 4.4 (4.2-4.7) mmol/L, P < 0.05], but lower HOMA-β [161.9 (118.2-238.8) vs. 181.0 (131.7-260.9), P < 0.05] and Stumvoll first phase of insulin secretion [1230.2 (1077.9-1433.7) vs. 1290.9 (1134.0-1493.2), P < 0.05]. Multiple linear regression analysis indicated that the sex of the fetus was independently associated with maternal FPG and HOMA-β. Further binary logistic regression analyses revealed that the presence of a male fetus was significantly associated with elevated FPG [odds ratio (OR) 1.50; 95% confidence interval (CI) 1.12-2.00; P = 0.006] and lower HOMA-β (OR 0.70; 95% CI 0.52-0.94; P = 0.018) even after adjustment for potential confounders. CONCLUSIONS This study provided evidence that maternal glucose metabolism could be affected by fetal sex even in NGT pregnant women. Our results suggest that the presence of male fetuses was independently associated with maternal elevated FPG and lower basal β-cell function.
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Affiliation(s)
- Xinqian Geng
- Shanghai Key Laboratory of Diabetes, The Metabolic Diseases Biobank, Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, People's Republic of China
| | - Lulu Geng
- Shanghai Key Laboratory of Diabetes, The Metabolic Diseases Biobank, Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, People's Republic of China
| | - Yinan Zhang
- The Metabolic Diseases Biobank, Center for Translational Medicine, Shanghai Key Laboratory of Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, People's Republic of China
| | - Huijuan Lu
- Shanghai Key Laboratory of Diabetes, The Metabolic Diseases Biobank, Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, People's Republic of China
| | - Yixie Shen
- Shanghai Key Laboratory of Diabetes, The Metabolic Diseases Biobank, Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, People's Republic of China
| | - Ruihua Chen
- Shanghai Key Laboratory of Diabetes, The Metabolic Diseases Biobank, Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, People's Republic of China
| | - Pingyan Fang
- Shanghai Key Laboratory of Diabetes, The Metabolic Diseases Biobank, Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, People's Republic of China
| | - Minfang Tao
- Department of Obstetrics and Gynecology, Shanghai Clinical Center for Severe Maternal Rescue, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, People's Republic of China.
| | - Congrong Wang
- Shanghai Key Laboratory of Diabetes, The Metabolic Diseases Biobank, Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, People's Republic of China.
| | - Weiping Jia
- Shanghai Key Laboratory of Diabetes, The Metabolic Diseases Biobank, Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, People's Republic of China
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Burlina S, Dalfrà MG, Visentin S, Valentini R, Capovilla F, Lapolla A. Team management of gestational diabetes: a training experience. Acta Diabetol 2017; 54:881-883. [PMID: 28550359 DOI: 10.1007/s00592-017-1003-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2017] [Accepted: 05/14/2017] [Indexed: 11/30/2022]
Affiliation(s)
- S Burlina
- Department of Medicine - DIMED, University of Padova, Via Giustiniani 2, 35128, Padua, Italy.
| | - M G Dalfrà
- Department of Medicine - DIMED, University of Padova, Via Giustiniani 2, 35128, Padua, Italy
| | - S Visentin
- Department of Women's and Children's Health, University of Padova, Padua, Italy
| | - R Valentini
- Department of Medicine - DIMED, University of Padova, Via Giustiniani 2, 35128, Padua, Italy
| | - F Capovilla
- Department of Medicine - DIMED, University of Padova, Via Giustiniani 2, 35128, Padua, Italy
| | - A Lapolla
- Department of Medicine - DIMED, University of Padova, Via Giustiniani 2, 35128, Padua, Italy
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22
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Ahmad I, Zelnick LR, Robinson NR, Hung AM, Kestenbaum B, Utzschneider KM, Kahn SE, de Boer IH. Chronic kidney disease and obesity bias surrogate estimates of insulin sensitivity compared with the hyperinsulinemic euglycemic clamp. Am J Physiol Endocrinol Metab 2017; 312:E175-E182. [PMID: 28073780 PMCID: PMC5374297 DOI: 10.1152/ajpendo.00394.2016] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2016] [Revised: 12/12/2016] [Accepted: 01/02/2017] [Indexed: 12/27/2022]
Abstract
Insulin sensitivity can be measured by procedures such as the hyperinsulinemic euglycemic clamp or by using surrogate indices. Chronic kidney disease (CKD) and obesity may differentially affect these measurements because of changes in insulin kinetics and organ-specific effects on insulin sensitivity. In a cross-sectional study of 59 subjects with nondiabetic CKD [estimated glomerular filtration rate: (GFR) <60 ml·min-1·1.73 m2] and 39 matched healthy controls, we quantified insulin sensitivity by clamp (SIclamp), oral glucose tolerance test, and fasting glucose and insulin. We compared surrogate insulin sensitivity indices to SIclamp using descriptive statistics, graphical analyses, correlation coefficients, and linear regression. Mean age was 62.6 yr; 48% of the participants were female, and 77% were Caucasian. Insulin sensitivity indices were 8-38% lower in participants with vs. without CKD and 13-59% lower in obese compared with nonobese participants. Correlations of surrogate indices with SIclamp did not differ significantly by CKD or obesity status. Adjusting for SIclamp in addition to demographic factors, Matsuda index was 15% lower in participants with vs. without CKD (P = 0.09) and 36% lower in participants with vs. without obesity (P = 0.0001), whereas 1/HOMA-IR was 23% lower in participants with vs. without CKD (P = 0.02) and 46% lower in participants with vs. without obesity (P < 0.0001). We conclude that CKD and obesity do not significantly alter correlations of surrogate insulin sensitivity indices with SIclamp, but they do bias surrogate measurements of insulin sensitivity toward lower values. This bias may be due to differences in insulin kinetics or organ-specific responses to insulin.
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Affiliation(s)
- Iram Ahmad
- Division of Metabolism, Endocrinology, and Nutrition, Department of Medicine, University of Washington, Seattle, Washington;
- Division of Nephrology, Department of Medicine, Kidney Research Institute, University of Washington, Seattle, Washington
| | - Leila R Zelnick
- Division of Nephrology, Department of Medicine, Kidney Research Institute, University of Washington, Seattle, Washington
| | - Nicole R Robinson
- Division of Nephrology, Department of Medicine, Kidney Research Institute, University of Washington, Seattle, Washington
| | - Adriana M Hung
- Division of Nephrology and Hypertension, Vanderbilt University School of Medicine, Nashville, Tennessee; and
| | - Bryan Kestenbaum
- Division of Nephrology, Department of Medicine, Kidney Research Institute, University of Washington, Seattle, Washington
| | - Kristina M Utzschneider
- Division of Metabolism, Endocrinology, and Nutrition, Department of Medicine, University of Washington, Seattle, Washington
- Veterans Affairs Puget Sound Health Care System, Seattle, Washington
| | - Steven E Kahn
- Division of Metabolism, Endocrinology, and Nutrition, Department of Medicine, University of Washington, Seattle, Washington
- Veterans Affairs Puget Sound Health Care System, Seattle, Washington
| | - Ian H de Boer
- Division of Nephrology, Department of Medicine, Kidney Research Institute, University of Washington, Seattle, Washington
- Veterans Affairs Puget Sound Health Care System, Seattle, Washington
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