ABSTRACT
BACKGROUND: Individuals of South Asian origin have a greater risk of cardiovascular disease after gestational diabetes mellitus (GDM) than European individuals. B-type natriuretic peptide (BNP) and the amino-terminal fragment of its prohormone (NT-proBNP) are commonly used for heart failure screening and diagnosis, but biologically BNP exerts several beneficial cardiovascular effects primarily by counteracting the renin-angiotensin-aldosterone-system. We asked whether ethnic differences in circulating NT-proBNP levels could be explained by the differences in cardiometabolic and inflammatory risk markers? METHODS: We examined 162 South Asian and 107 Nordic women in Norway 1-3 years after GDM with a clinical examination, fasting blood samples and an oral glucose tolerance test. We measured the levels of NT-proBNP, high-sensitivity cardiac troponin T, high-sensitivity C-reactive protein (hsCRP), interleukin-6 (IL-6), leptin, adiponectin and markers of insulin sensitivity, such as the Matsuda insulin sensitivity index (ISI). Finally, we tried to identify which independent covariate best mediated the ethnic differences in NT-proBNP. RESULTS: The mean (SD) age was 35.3 (4.5) years, BMI 29.1 (6.0) kg/m2, waist-height ratio 0.60 (0.08) and 164 women (61%) had prediabetes/diabetes. Notably, South Asian women had lower levels of NT-proBNP than Nordic women in both the normoglycemic and prediabetes/diabetes groups (median (IQR) 26 (15-38) vs. 42 (22-66) ng/L, p < 0.001). Higher NT-proBNP levels were associated with greater insulin sensitivity in both South Asian and Nordic women (p = 0.005 and p < 0.001). South Asian women had higher levels of hsCRP (median (IQR) 2.2 (1.1-4.4) vs. 1.2 (0.3-4.2) mg/L), IL-6 (2.3 (1.5-3.2) vs. 1.5 (1.5-2.5) pg/mL), leptin (1647 (1176-2480) vs. 1223 (876-2313) pmol/L), and lower adiponectin levels (7.2 (5.3-9.3) vs. 10.0 (7.2-13.5) mg/L) and Matsuda ISI (2.4 (1.7-3.7) vs. 4.2 (2.9-6.1), pall<0.01) than Nordic women. Even after adjusting for these differences, higher NT-proBNP levels remained associated with insulin sensitivity (22% higher NT-proBNP per SD Matsuda ISI, p = 0.015). Insulin sensitivity and adiponectin mediated 53% and 41% of the ethnic difference in NT-proBNP. CONCLUSIONS: NT-proBNP levels are lower in South Asian than in Nordic women after GDM. Lower NT-proBNP levels correlate with impaired insulin sensitivity. Lower NT-proBNP levels in South Asian women could, therefore, be attributed to impaired insulin sensitivity rather than total body fat.
Subject(s)
Asian People , Biomarkers , Diabetes, Gestational , Insulin Resistance , Natriuretic Peptide, Brain , Peptide Fragments , Humans , Female , Natriuretic Peptide, Brain/blood , Diabetes, Gestational/ethnology , Diabetes, Gestational/blood , Diabetes, Gestational/diagnosis , Biomarkers/blood , Insulin Resistance/ethnology , Adult , Peptide Fragments/blood , Pregnancy , Norway/epidemiology , Blood Glucose/metabolism , Insulin/blood , Inflammation Mediators/blood , Cardiometabolic Risk Factors , White People , Risk Assessment , Time Factors , Adiponectin/blood , Leptin/bloodABSTRACT
Detailed knowledge regarding the associations between intake of different types of seafood and meat and the risk of type 2 diabetes (T2D), and insight into possible mechanisms are warranted. In this study we aimed to evaluate the associations between intake of different types of seafood and meat and the subsequent risk of T2D using the Norwegian Mother, Father, and Child Cohort Study (MoBa), and furthermore, by using a mouse model to gain further insight into possible molecular mechanisms contributing to the associated metabolic changes. Women in MoBa who were free of pharmacologically treated diabetes at baseline (n = 60,777) were prospectively evaluated for incident T2D, identified on the basis of medication usages > 90 days after delivery, ascertained by the Norwegian Prescription Database. Dietary intake was obtained with a validated 255-item food frequency questionnaire which assessed habitual diet during the first 4-5 months of pregnancy. Metabolic phenotypes and plasma metabolome were investigated in female mice fed isocaloric diets with different types of seafood and meat mimicking the dietary intake in the human cohort. During maximum 10-year and mean (SD) 7.2 (1.6) years follow-up time, 681 (1.1%) women developed pharmacologically treated T2D. All statistical models identified a higher risk of T2D with increased shellfish intake, whereas no associations were observed for total seafood, fatty fish, total meat and red meat in the adjusted models. In mice, the shellfish-based western diet induced reduced glucose tolerance and insulin secretion compared to the diet based on lean fish, and we identified a number of metabolites elevated in plasma from shellfish-fed mice that correlated with glucose intolerance. Mice fed a western diet based on meat also exhibited reduced glucose tolerance in comparison to lean fish fed mice, whereas mice fed fatty fish, total seafood or red meat did not differ from lean fish fed mice. We observed a diet-specific metabolic signature in plasma demonstrating five distinct metabolite profiles in mice fed shellfish, fatty fish, total seafood/lean fish, a mixed diet and meat. In conclusion, these findings demonstrate that different types of seafood have different outcome on T2D risk. In women, intake of shellfish was associated with higher risk of T2D. In female mice, a shellfish enriched diet reduced glucose tolerance and altered the abundance of several distinct plasma metabolites correlating with glucose tolerance.
Subject(s)
Diabetes Mellitus, Type 2 , Diet , Animals , Female , Humans , Pregnancy , Cohort Studies , Diabetes Mellitus, Type 2/etiology , Diet, Western , Glucose , Meat , Prospective Studies , Seafood , MiceABSTRACT
INTRODUCTION: A better understanding of the determinants of placental growth is needed. Our primary aim was to explore associations between maternal ethnic origin and cardio-metabolic factors during pregnancy, and placental weight, surface area, shape and thickness. METHODS: A multi-ethnic population-based cohort study of 474 pregnant women examined at mean 15 and 28 weeks' gestation. Placentas were inspected after birth by a placental pathologist. Outcome measures were trimmed placental weight and three uncorrelated placental components; surface area, shape (oval vs round) and thickness, created through a principal components analysis. Multivariate linear regression models were used to explore the associations with maternal factors. RESULTS: Compared with ethnic European women, mothers with South- and East Asian ethnicity had placentas with lower weight (-51 g (95% CI: 75, -27) and -55 g (-95, -14) respectively), primarily due to a smaller surface area. The association between South Asian ethnicity and placental surface area was still significant after adjusting for maternal characteristics and cardio-metabolic factors. Fat mass index in early pregnancy was associated with higher placental weight and thickness. Placental surface area was positively associated with mid-gestational increases in fat mass, fasting glucose and triglycerides and with the 2-h glucose value at the 28 week oral glucose tolerance test, and inversely with a mid-gestational increase in HDL-cholesterol. DISCUSSION: Mid-gestational changes in fat mass, glucose, triglycerides and cholesterol were associated with, but only partly explained ethnic differences in placental surface area, while maternal fat mass in early pregnancy was associated with placental thickness.
Subject(s)
Ethnicity , Placenta , Female , Humans , Pregnancy , Cohort Studies , Birth Weight , Body Mass Index , Overweight , Triglycerides , Glucose , CholesterolABSTRACT
BACKGROUND: Gestational diabetes mellitus (GDM) and type 2 diabetes mellitus (T2DM) share many pathophysiological factors including genetics, but whether epigenetic marks are shared is unknown. We aimed to test whether a DNA methylation risk score (MRS) for T2DM was associated with GDM across ancestry and GDM criteria. METHODS: In two independent pregnancy cohorts, EPIPREG (n = 480) and EPIDG (n = 32), DNA methylation in peripheral blood leukocytes was measured at a gestational age of 28 ± 2. We constructed an MRS in EPIPREG and EPIDG based on CpG hits from a published epigenome-wide association study (EWAS) of T2DM. RESULTS: With mixed models logistic regression of EPIPREG and EPIDG, MRS for T2DM was associated with GDM: odd ratio (OR)[95% CI]: 1.3 [1.1-1.8], P = 0.002 for the unadjusted model, and 1.4 [1.1-1.7], P = 0.00014 for a model adjusted by age, pre-pregnant BMI, family history of diabetes and smoking status. Also, we found 6 CpGs through a meta-analysis (cg14020176, cg22650271, cg14870271, cg27243685, cg06378491, cg25130381) associated with GDM, and some of their methylation quantitative loci (mQTLs) were related to T2DM and GDM. CONCLUSION: For the first time, we show that DNA methylation marks for T2DM are also associated with GDM, suggesting shared epigenetic mechanisms between GDM and T2DM.
Subject(s)
Diabetes Mellitus, Type 2 , Diabetes, Gestational , Pregnancy , Female , Humans , Diabetes, Gestational/diagnosis , Diabetes, Gestational/epidemiology , Diabetes, Gestational/genetics , DNA Methylation , Diabetes Mellitus, Type 2/diagnosis , Diabetes Mellitus, Type 2/epidemiology , Diabetes Mellitus, Type 2/genetics , Epigenesis, Genetic , Risk FactorsABSTRACT
OBJECTIVE: Dietary assessment tools should be designed for the target population. We developed an FFQ designed to assess diet in South Asian women in Norway. The study objective was to evaluate this FFQ using 24-h dietary recalls as reference method. DESIGN: Approximately 3 weeks after the participants (n 40) had filled in the FFQ, the first of three non-consecutive 24-h dietary recalls was completed. The recalls were telephone-based, unannounced and performed by a trained dietitian, with 2-3 weeks between each interview. SETTING: The DIASA 1 study, in Oslo, Norway. PARTICIPANTS: Women of South Asian ethnic origin participating in the DIASA 1 study were invited to participate in the evaluation study. RESULTS: The WebFFQasia significantly overestimated the absolute intake of energy, protein, fat and carbohydrates compared with the 24-h dietary recalls. Absolute intakes of sugar, starch and fibre did not differ significantly between the methods. For energy percentages (E%), there were no significant differences, except for monounsaturated fat. Correlations were strong for E% from sugar and saturated fat and moderate for E% from fibre, carbohydrate, total fat and protein. Fourteen food groups out of twenty three were not significantly different compared with the reference method, and sixteen groups showed strong to moderate correlations. CONCLUSION: The WebFFQasia may be used to assess E% from habitual diet and can adequately estimate intakes and rank participants according to nutrient intake and main food categories at group level.
Subject(s)
Diet , Energy Intake , Humans , Female , Mental Recall , Dietary Fats , Norway , Surveys and Questionnaires , Reproducibility of Results , Diet Surveys , Sugars , Diet RecordsABSTRACT
With an ageing population and improved treatments people live longer with their chronic diseases, and primary care clinics face more costly and difficult-to-treat multimorbid patients. To meet these challenges, current guidelines for the management of type 2 diabetes suggest that an interprofessional team should collaborate to enhance the delivery of worthwhile self-management support interventions. In this study, we aimed to evaluate the effects of an empowerment-based interprofessional follow-up intervention in people with type 2 diabetes in primary care on patient-reported outcomes, biomarkers and weight, and to explore the experiences of patients attending the intervention. We invited patients during regular visits to their general practitioners. The 12-month intervention included 1) empowerment-based counselling; 2) a standardized medical report. The control group received consultations with physicians only. The primary outcome was the Patient Activation Measure, a patient-reported measure assessing individual knowledge, skills, and confidence integral to managing one's health and healthcare. After the trial we conducted qualitative interviews. We observed no difference in the primary outcome scores. On secondary outcomes we found a significant between-group intervention effect in favor of the intervention group, with mean differences in glycemic control after 12 months (B [95% CI] = -8.6 [-17.1, -0.1] mmol/l; p = 0.045), and significant within-group changes of weight (B [95% CI] = -1.8 kg [-3.3, -0.3]; p = 0.02) and waist circumference (B [95% CI] = -3.9 cm [-7.3, -0.6]; p = 0.02). The qualitative data showed that the intervention opened patients' eyes for reflections and greater awareness, but they needed time to take on actions. The patients emphasized that the intervention gave rise to other insights and a greater understanding of their health challenges. We suggest testing the intervention among patients with larger disease burden and a more expressed motivation for change.
Subject(s)
Diabetes Mellitus, Type 2 , Humans , Diabetes Mellitus, Type 2/therapy , Follow-Up Studies , Chronic Disease , Motivation , Primary Health CareABSTRACT
BACKGROUND: Type 2 diabetes (T2D) is a global public health problem, but the onset can be delayed or prevented with adequate intervention in individuals with increased risk. Therefore, a major challenge in general practice is to identify individuals at risk of diabetes. However, limited knowledge is available about the prevalence of high diabetes risk individuals in a primary care population. In a cohort of consecutive patients in general practice we examined the prevalence of known diabetes and estimated risk of diabetes using The Finnish Diabetes Risk Score (FINDRISC) calculator, by sociodemographic and clinical characteristics. METHODS: This study was a cross-sectional study conducted in four general practices in Western and Eastern Norway. A total of 1682 individuals, 20-80 years of age, were assessed for eligibility from May to December 2019. We excluded patients who actively declined participation (n = 112), were lost because of various organization challenges (n = 103) and patients who did not fulfil the inclusions criteria (n = 63). Diabetes prevalence and prevalence of individuals at risk of T2D with 95% confidence intervals (CI) were estimated for the total sample, by age group and for men and women separately. We tested for differences between groups using t-test for continuous variables and chi-square test (Pearson Chi-Square) for categorical variables. RESULTS: Of 1404 individuals, 132 reported known diabetes, yielding a prevalence of 9.9% (95% CI 8.4-11.6). Among participants without a known diagnosis of diabetes, the following estimates of elevated risk assessment scores were found: FINDRISC score ≥ 11 32.8% (95% CI 30.3-35.4) and FINDRISC ≥ 15 10.0% (95% CI 8.6-11.9). Comparable results were found between the sexes. CONCLUSIONS: Detection of unknown diabetes and individuals with increased risk, is of high public health relevance for early implementation of preventive measures aimed to reduce the risk of diabetes and its complications through lifestyle modification. A simple, non-expensive questionnaire, such as FINDRISC, may be valuable as an initial screening method in general practice to identify those in need for preventive measures.
Subject(s)
Diabetes Mellitus, Type 2 , General Practice , Male , Humans , Female , Diabetes Mellitus, Type 2/epidemiology , Diabetes Mellitus, Type 2/diagnosis , Cross-Sectional Studies , Prevalence , Norway/epidemiologyABSTRACT
Physical activity is associated with beneficial adaptations in human and rodent metabolism. We studied over 50 complex traits before and after exercise intervention in middle-aged men and a panel of 100 diverse strains of female mice. Candidate gene analyses in three brain regions, muscle, liver, heart, and adipose tissue of mice indicate genetic drivers of clinically relevant traits, including volitional exercise volume, muscle metabolism, adiposity, and hepatic lipids. Although â¼33% of genes differentially expressed in skeletal muscle following the exercise intervention are similar in mice and humans independent of BMI, responsiveness of adipose tissue to exercise-stimulated weight loss appears controlled by species and underlying genotype. We leveraged genetic diversity to generate prediction models of metabolic trait responsiveness to volitional activity offering a framework for advancing personalized exercise prescription. The human and mouse data are publicly available via a user-friendly Web-based application to enhance data mining and hypothesis development.
Subject(s)
Adaptation, Physiological , Transcriptome , Male , Middle Aged , Humans , Female , Mice , Animals , Transcriptome/genetics , Obesity/metabolism , Acclimatization , Adipose Tissue/metabolism , Muscle, Skeletal/metabolismSubject(s)
Cardiovascular Diseases , Diabetes Mellitus, Type 2 , Sodium-Glucose Transporter 2 Inhibitors , Humans , Cardiovascular Diseases/epidemiology , Cardiovascular Diseases/prevention & control , Cardiovascular Diseases/complications , Diabetes Mellitus, Type 2/complications , Diabetes Mellitus, Type 2/drug therapy , Sodium-Glucose Transporter 2 Inhibitors/adverse effects , Sulfonylurea Compounds/adverse effectsABSTRACT
Aim: To perform an epigenome-wide association study (EWAS) of serum folate in maternal blood. Methods: Cross-ancestry (Europeans = 302, South Asians = 161) and ancestry-specific EWAS in the EPIPREG cohort were performed, followed by methyl quantitative trait loci analysis and association with cardiometabolic phenotypes. Replication was attempted using maternal folate intake and blood methylation data from the MoBa study and verified if the findings were significant in a previous EWAS of maternal serum folate in cord blood. Results & conclusion: cg19888088 (cross-ancestry) in EBF3, cg01952260 (Europeans) and cg07077240 (South Asians) in HERC3 were associated with serum folate. cg19888088 and cg01952260 were associated with diastolic blood pressure. cg07077240 was associated with variants in CASC15. The findings were not replicated and were not significant in cord blood.
Subject(s)
Epigenesis, Genetic , Epigenome , DNA Methylation , Fetal Blood/metabolism , Leukocytes , Folic Acid/metabolism , Genome-Wide Association Study/methodsABSTRACT
Although there are some epigenome-wide association studies (EWAS) of insulin resistance, for most of them authors did not replicate their findings, and most are focused on populations of European ancestry, limiting the generalizability. In the Epigenetics in Pregnancy (EPIPREG; n = 294 Europeans and 162 South Asians) study, we conducted an EWAS of insulin resistance in maternal peripheral blood leukocytes, with replication in the Born in Bradford (n = 879; n = 430 Europeans and 449 South Asians), Methyl Epigenome Network Association (MENA) (n = 320), and Botnia (n = 56) cohorts. In EPIPREG, we identified six CpG sites inversely associated with insulin resistance across ancestry, of which five were replicated in independent cohorts (cg02988288, cg19693031, and cg26974062 in TXNIP; cg06690548 in SLC7A11; and cg04861640 in ZSCAN26). From methylation quantitative trait loci analysis in EPIPREG, we identified gene variants related to all five replicated cross-ancestry CpG sites, which were associated with several cardiometabolic phenotypes. Mediation analyses suggested that the gene variants regulate insulin resistance through DNA methylation. To conclude, our cross-ancestry EWAS identified five CpG sites related to lower insulin resistance.
Subject(s)
DNA Methylation , Insulin Resistance , Pregnancy , Humans , Female , Epigenome , Insulin Resistance/genetics , Genome-Wide Association Study , Epigenesis, Genetic , CpG IslandsABSTRACT
CONTEXT: Serum soluble leptin receptor (sOb-R) may protect against future type 2 diabetes or serve as a marker for protective features, but how sOb-R is regulated is largely unknown. OBJECTIVE: This work aimed to test how serum sOb-R is influenced by glucose, insulin, body fat, body mass index (BMI), food intake, and physical activity. METHODS: We performed an epidemiological triangulation combining cross-sectional, interventional, and Mendelian randomization study designs. In 5 independent clinical studies (n = 24-823), sOb-R was quantified in serum or plasma by commercial enzyme-linked immunosorbent assay kits using monoclonal antibodies. We performed mixed-model regression and 2-sample Mendelian randomization. RESULTS: In pooled, cross-sectional data, leveling by study, sOb-R was associated inversely with BMI (ß [95% CI] -0.19 [-0.21 to -0.17]), body fat (-0.12 [-0.14 to -0.10), and fasting C-peptide (-2.04 [-2.46 to -1.62]). sOb-R decreased in response to acute hyperinsulinemia during euglycemic glucose clamp in 2 independent clinical studies (-0.5 [-0.7 to -0.4] and -0.5 [-0.6 to -0.3]), and immediately increased in response to intensive exercise (0.18 [0.04 to 0.31]) and food intake (0.20 [0.06 to 0.34]). In 2-sample Mendelian randomization, higher fasting insulin and higher BMI were causally linked to lower sOb-R levels (inverse variance weighted, -1.72 [-2.86 to -0.58], and -0.20 [-0.36 to -0.04], respectively). The relationship between hyperglycemia and sOb-R was inconsistent in cross-sectional studies and nonsignificant in intervention studies, and 2-sample Mendelian randomization suggested no causal effect of fasting glucose on sOb-R. CONCLUSION: BMI and insulin both causally decreased serum sOb-R levels. Conversely, intensive exercise and food intake acutely increased sOb-R. Our results suggest that sOb-R is involved in short-term regulation of leptin signaling, either directly or indirectly, and that hyperinsulinemia may reduce leptin signaling.
Subject(s)
Diabetes Mellitus, Type 2 , Insulin Resistance , Humans , Leptin , Insulin , Receptors, Leptin , Body Mass Index , Diabetes Mellitus, Type 2/epidemiology , Cross-Sectional Studies , Insulin Resistance/physiology , GlucoseABSTRACT
Background: Digital healthcare systems data could provide insights into the global prevalence of chronic kidney disease (CKD). We designed the CaReMe CKD study to estimate the prevalence, key clinical adverse outcomes and costs of CKD across 11 countries. Methods: Individual-level data of a cohort of 2·4 million contemporaneous CKD patients was obtained from digital healthcare systems in participating countries using a pre-specified common protocol; summarized using random effects meta-analysis. CKD and its stages were defined in accordance with current Kidney Disease: Improving Global Outcomes (KDIGO) criteria. CKD was defined by laboratory values or by a diagnosis code. Findings: The pooled prevalence of possible CKD was 10·0% (95% confidence interval 8.5â11.4; mean pooled age 75, 53% women, 38% diabetes, 60% using renin-angiotensin-aldosterone system inhibitors). Two out of three CKD patients identified by laboratory criteria did not have a corresponding CKD-specific diagnostic code. Among CKD patients identified by laboratory values, the majority (42%) were in KDIGO stage 3A; and this fraction was fairly consistent across countries. The share with CKD based on urine albumin-creatinine ratio (UACR) alone (KDIGO stages one and two) was 29%, with a substantial heterogeneity between countries. Adverse events were common; 6·5% were hospitalized for CKD or heart failure, and 6·2% died, annually. Costs for renal events and heart failure were consistently higher than costs for atherosclerotic events in CKD patients across all countries. Interpretation: We estimate that CKD is present in one out of ten adults. These individuals experience significant adverse outcomes with associated costs. The prevalence of CKD is underestimated when using diagnostic codes alone. There is considerable public health potential in diagnosing CKD and providing treatments to those currently undiagnosed. Funding: The study was sponsored by AstraZeneca.
ABSTRACT
BACKGROUND: The type 2 diabetes risk after gestational diabetes mellitus (GDM) is twice as high in South Asian compared to European women. Current guidelines differ regarding which test to use as a screening-tool post-GDM. We aimed to identify ethnic differences in the prevalence rates and early predictors for actionable HbA1c (defined as prediabetes and diabetes) short time after GDM. METHODS: This cross-sectional study, enrolling South Asian and Nordic women 1-3 years after a diagnosis of GDM, was undertaken at three hospitals in Norway. We performed a clinical and laboratory evaluation including an oral glucose tolerance test (OGTT). Medical records were used to retrieve data during pregnancy. Prediabetes was classified with HbA1c alone or combined with OGTT glucose measurements according to the WHO, WHO-IEC, and ADA criteria (fasting plasma glucose (FPG) 6.1-6.9 mmol/L, FPG 6.1-6.9 mmol/L and/or HbA1c 42-47 mmol/mol (6.0-6.4%), and FPG 5.6-6.9 mmol/L and/or HbA1c 39-47 mmol/mol (5.7-6.4%)). Ethnic differences in prevalence and predictors of glucose deterioration were assed by χ2 (Pearson) tests and logistic regression models. RESULTS: We included 163 South Asian and 108 Nordic women. Actionable HbA1c levels were highly prevalent and more so among South Asian than Nordic women (WHO-IEC-HbA1c: 25.8% vs. 6.5% (p ≤ 0.001), ADA-HbA1c: 58.3% vs. 22.2% (p ≤ 0.001)). Although adding OGTT-data gave higher combined prevalence rates of prediabetes and diabetes (WHO: 65.6% vs. 47.2% (p ≤ 0.05), WHO-IEC: 70.6% vs. 47.2% (p ≤ 0.001), ADA: 87.8% vs. 65.7% (p ≤ 0.001)), the excess risk in the South Asian women was best captured by the HbA1c. Important predictors for glucose deterioration after GDM were: South Asian ethnicity, GDM before the index pregnancy, use of glucose-lowering drugs in pregnancy, higher age, and higher in-pregnancy fasting glucose levels. CONCLUSIONS: In women with GDM 1-3 year previously, we found high prevalence and significant ethnic differences in actionable ADA-HbA1c levels, with South Asian ethnicity, GDM before the index pregnancy, and the use of glucose-lowering drugs in pregnancy as the most important risk factors. This study reinforces the importance of annual screening-preferably with HbA1c measurements-to facilitate early intervention after GDM.
Subject(s)
Diabetes Mellitus, Type 2 , Diabetes, Gestational , Prediabetic State , Blood Glucose , Cross-Sectional Studies , Diabetes Mellitus, Type 2/diagnosis , Diabetes Mellitus, Type 2/epidemiology , Diabetes, Gestational/diagnosis , Diabetes, Gestational/epidemiology , Female , Humans , Prediabetic State/diagnosis , Prediabetic State/epidemiology , Pregnancy , PrevalenceABSTRACT
South Asian women have a higher risk of type 2 diabetes after gestational diabetes mellitus (GDM) than Nordic women; however, the mechanisms behind this difference remain unclear. We investigated insulin sensitivity, ß-cell function, and hepatic insulin clearance in 179 South Asian and 108 Nordic women â¼17 months after GDM (mean age 35.3 years, BMI 29.1 kg/m2) by oral glucose tolerance test using deconvolution of C-peptide kinetics. Thirty-one percent of South Asian and 53% of Nordic participants were normoglycemic at the time of measurement. South Asian women had higher areas under the curve (AUCs) for glucose, prehepatic insulin, and peripheral insulin and lower insulin sensitivity, disposition index, and fasting hepatic insulin clearance than Nordic women. In the group with prediabetes or diabetes, South Asian women had similar AUCs for glucose and prehepatic insulin but a higher AUC for peripheral insulin, lower disposition index, and lower fasting hepatic insulin clearance than Nordic women. The waist-to-height ratio mediated â¼25-40% of the ethnic differences in insulin sensitivity in participants with normoglycemia. Overall, our novel data revealed that South Asian women with normoglycemia after GDM showed lower insulin secretion for a given insulin resistance and lower hepatic insulin clearance than Nordic women. South Asian women are at high risk of developing type 2 diabetes after GDM, and preventive efforts should be prioritized.
Subject(s)
Diabetes Mellitus, Type 2 , Diabetes, Gestational , Insulin Resistance , Pregnancy , Female , Humans , Adult , Insulin , Blood Glucose , Kinetics , Insulin, Regular, Human , GlucoseABSTRACT
BACKGROUND: South-Asian immigrants to Western countries have a high prevalence of type 2 diabetes mellitus (T2DM) and increased adipose tissue insulin resistance (AT-IR), as compared to their Western counterparts. Fetuin-A is a hepatokine known to influence AT-IR. AIM: Can plasma fetuin-A concentrations explain an ethnic difference in adipose tissue insulin resistance? METHODS: We performed a two-step euglycemic-hyperinsulinaemic clamp and measured plasma concentrations of fetuin-A and non-esterified fatty acids (NEFA), in 18 Pakistani and 21 Norwegians with T2DM (age 29-45y) in Norway. AT-IR was calculated as NEFA-suppression during the clamp. The adipokines/cytokines leptin, adiponectin, visfatin, PTX3, IL-1ß, INF-γ, and IL-4 were measured in fasting plasma. Liver fat was estimated by CT-scans. RESULTS: Despite a lower BMI, Pakistani patients displayed higher AT-IR than Norwegians. NEFA-suppression during clamp was lower in Pakistani than Norwegians (mean=-20.6%, 95%CI=[-40.8, -0.01] and p = 0.046). Plasma fetuin-A concentration was higher in Pakistani than Norwegians (43.4 ng/mL[12.7,74.0], p = 0.007) and correlated negatively to %NEFA-suppression during clamp (rho=-0.39, p = 0.039). Plasma fetuin-A concentration explained 22% of the ethnic difference in NEFA-suppression during the clamp. Pakistani patients exhibited higher plasma leptin and lower PTX3 levels than Norwegian, and plasma visfatin correlated positively to plasma fetuin-A levels in the Pakistani patients. We observed no correlation between plasma fetuin-A and liver fat, but fetuin-A correlated negatively with plasma IL-1ß, INF-γ, and IL-4 concentrations. Plasma IL-4 concentration was lower in Pakistani than in Norwegian patients. CONCLUSION: Fetuin-A may contribute to explain the discrepancy in T2DM prevalence between Pakistani and Norwegians patients by influencing AT-IR.
Subject(s)
Diabetes Mellitus, Type 2 , Insulin Resistance , Adipose Tissue , Adult , Fatty Acids, Nonesterified , Humans , Interleukin-4 , Leptin , Middle Aged , Nicotinamide Phosphoribosyltransferase , Norway/epidemiology , Pakistan , alpha-2-HS-GlycoproteinABSTRACT
BACKGROUND: A substantial proportion of older people who receive home care services (HCS) has diabetes and requires diabetes specific monitoring, treatment and self-care assistance. However, the prevalence and incidence rates of diabetes among older people in HCS are poorly described. The aim of the study is to estimate prevalence, incidence and time trends of pharmacologically treated diabetes among older people receiving HCS in Norway 2009-2014. METHODS: This nationwide observational cohort study is based on data from two population registries. The study population consisted of persons registered in the Norwegian Information System for the Nursing and Care Sector aged ≥ 65 years receiving HCS during at least one of the years 2009-2014. The Norwegian Prescription Database was utilized to identify participants' prescriptions for glucose lowering drugs (GLD). The period prevalence was calculated each year as persons with one or more prescriptions of GLD in the current or previous year. Incident cases were defined as subjects receiving prescriptions of GLD for the first time in the given calendar year if there were no prescriptions of any GLD for that person during the previous two years. RESULTS: From 2009 to 2014, the number of older people receiving HCS increased from 112,487 to 125,593. The proportion of these who received GLD increased from 14.2% to 15.7% (p < 0.001) and was significantly higher among men than women. The annual incidence rate of diabetes among those receiving HCS showed a decreasing trend from 95.4 to 87.5 cases per 10,000 person-years from 2011 to 2014, but when stratifying on age group and gender, was significant only among the oldest women (age groups 85-89 years and 90 +). CONCLUSIONS: The increasing prevalence of older people with diabetes who receive HCS highlights the importance of attention to treatment and care related to diabetes in the HCS.