Indices Of Glucose Metabolism Research Articles

Joint associations among non-essential heavy metal mixtures and nutritional factors on glucose metabolism indexes in US adults: evidence from the NHANES 2011-2016.

Dietary intake can modify the impact of metals on human health, and is also closely related to glucose metabolism in human bodies. However, research on their interaction is limited. We used data based on 1738 adults aged ≥20 years from the National Health and Nutrition Examination Survey 2011-2016. We combined linear regression and restricted cubic splines with Bayesian kernel machine regression (BKMR) to identify metals associated with each glucose metabolism index (P < 0.05 and the posterior inclusion probabilities of BKMR >0.5) in eight non-essential heavy metals (barium, cadmium, antimony, tungsten, uranium, arsenic, lead, and thallium) and glucose metabolism indexes [fasting plasma glucose (FPG), blood hemoglobin A1c (HbA1c) and homeostatic model assessment of insulin resistance (HOMA-IR)]. We identified two pairs of metals associated with glucose metabolism indexes: cadmium and tungsten to HbA1c and barium and thallium to HOMA-IR. Then, the cross-validated kernel ensemble (CVEK) approach was applied to identify the specific nutrient group (nutrients) that interacted with the association. By using the CVEK model, we identified significant interactions between the energy-adjusted diet inflammatory index (E-DII) and cadmium, tungsten and barium (all P < 0.05); macro-nutrients and cadmium, tungsten and barium (all P < 0.05); minerals and cadmium, tungsten, barium and thallium (all P < 0.05); and A vitamins and thallium (P = 0.043). Furthermore, a lower E-DII, a lower intake of carbohydrates and phosphorus, and a higher consumption of magnesium seem to attenuate the positive association between metals and glucose metabolism indexes. Our finding identifying the nutrients that interact with non-essential heavy metals could provide a feasible nutritional guideline for the general population to protect against the adverse effects of non-essential heavy metals on glucose metabolism.

Correlation of glucose and lipid metabolism, renal function and retinopathy in diabetic retinopathy patients using OCTA detection.

To investigate the correlation between glucose and lipid metabolism, renal function, and retinopathy in patients with diabetic retinopathy (DR) based on optical coherence tomography angiography (OCTA). A total of 584 diabetic patients who underwent treatment at The Second Affiliated Hospital of Dalian Medical University from March 2022 to June 2023 were retrospectively selected as research participants. They were categorized into a NDR group (n=366) and a DR group (n=218) based on the presence or absence of DR. Relevant indexes of glucose and lipid metabolism, renal function, and OCTA findings were collected. Logistic regression analysis was applied to identify the influencing factors of diabetes mellitus complicated with DR. ROC curves were drawn to examine the diagnostic value of the screened influencing factors for diabetes mellitus complicated with DR. Finally, Spearman correlation coefficients were calculated to examine the relevance between influencing factors and the severity of DR Lesions. Logistic regression showed that high levels of angiography 3 × 3 inner vascular density (IVD_33) and angiography 3 × 3 inner perfusion density (IPD_33) were protective factors for diabetes mellitus complicated with DR, and diabetic peridiabetic vascular disease (DPVD), elevated blood urea nitrogen (BUN), and urea levels were risk factors for diabetes mellitus complicated with DR (all P<0.05). ROC curve displayed that the areas under the curve (AUC) of IVD_33, DPVD, BUN, IPD_33, and Urea in predicting diabetes mellitus with DR were 0.779, 0.705, 0.621, 0.723, and 0.632, respectively. The AUC of combined prediction with OCTA index was higher than that of combined prediction without OCTA index (0.781 VS 0.84, P<0.05). Spearman correlation coefficient displayed that IVD_33 and IPD_33 were negatively correlated with the severity of DR, whereas DPVD and Urea showed a positive correlation (P<0.05). Our findings provide valuable insights for the initial clinical assessment of diabetic patients with DR and aid in the early determination of DR severity. Corresponding intervention measures should be formulated as early as possible to remedy patients' outcomes.

Application value of serum S100B combined with glucose metabolism indexes in predicting adverse pregnancy outcomes of patients with severe preeclampsia.

S100 calcium-binding protein B (S100B) and glucose control are reflective of maternal-fetal risks. We investigated the value of serum S100B combined with fasting blood glucose (FBG)/hemoglobin A1c (HbA1c) in evaluating the pregnancy outcomes of patients with severe preeclampsia (SPE). The clinical characteristics of SPE patients/controls were collected. FBG/HbA1c and serum S100B levels were measured, with their correlations analyzed. SPE patients were subdivided into adverse/non-adverse outcome groups based on follow-up results. The value of different indexes in predicting pregnancy outcomes was analyzed. SPE patients showed higher systolic blood pressure, diastolic blood pressure, urine protein, and body mass index and lower platelets, gestational age at delivery, and infant birth weight than healthy controls. FBG and HbA1c were positively correlated with serum S100B. SPE patients with adverse outcomes exhibited increased serum S100B and FBG/HbA1c levels. The area under the curve of serum S100B + FBG/HbA1c in evaluating adverse pregnancy outcomes of SPE patients was 0.8412 (77.05% sensitivity/84.21% specificity), higher than either alone. Serum S100B and FBG/HbA1c were independent risk factors for adverse outcomes of SPE patients. Overall, serum S100B positively-correlates with FBG/HbA1c in SPE patients. Serum S100B and FBG/HbA1c are independent risk factors, and their combination has high value on predicting adverse pregnancy outcomes of SPE patients.

Glycated haemoglobin, HOMA2-B, C-peptide to glucose ratio and type 2 diabetes clusters as predictors for therapy failure in individuals with type 2 diabetes without insulin therapy: A registry analysis.

Some people with type 2 diabetes mellitus (T2D) and declining β-cell function do require insulin over time. Various laboratory parameters, indices of glucose metabolism or phenotypes of T2D (clusters) have been suggested, which might predict future therapy failure (TF), indicating the need for insulin therapy initiation. This analysis evaluated glycated haemoglobin (HbA1c), homeostatic model assessment (HOMA)2-B, C-peptide to glucose ratio (CGR) and diabetes clusters as predictive parameters for the occurrence of glycaemic TF in individuals diagnosed with T2D without previous insulin therapy. In total, 159 individuals with T2D [41% female, median age 50 (IQR: 53-69) years, diabetes duration 9 (5-15) years], without insulin therapy were prospectively evaluated for the occurrence of a composite primary endpoint, including HbA1c increasing or remaining >8.0% (64 mmol/mol) 3 months after baseline on non-insulin glucose-lowering agents, insulin initiation or hospital admissions because of acute hyperglycaemic events. Diabetes clusters were formed according to previously described characteristics. Only severe autoimmune diabetes clusters were excluded because of a small amount of glutamate decarboxylase antibody-positive participants. The other clusters were distributed as mild age-related diabetes 33%; severe insulin-deficient diabetes 31%; mild obesity-related diabetes 20%; and severe insulin-resistant diabetes 15%. During a median observation of 57 months, higher tertiles of HbA1c at baseline, HOMA2-B, as well as a lower CGR were significantly predictive for the occurrence of the primary endpoint. The probability of meeting the primary endpoint was the highest for mild obesity-related diabetes [hazard ratio 3.28 (95% confidence interval 1.75-6.2)], followed by severe insulin-deficient diabetes [hazard ratio 2.03 (95% confidence interval 1.1-3.7)], mild age-related diabetes and the lowest for severe insulin-resistant diabetes. The best performance to predict TF with an area under the curve (AUC) of 0.77 was HbA1c at baseline, followed by HOMA2-B (AUC 0.69) and CGR (AUC 0.64). HbA1c, indices of insulin secretion capacity (HOMA2-B and CGR) and T2D clusters might be applicable tools to guide practitioners in the decision of whether insulin is required in people already diagnosed with T2D. These findings need to be validated in prospective studies.

Dietary carbohydrate quality index and cardio-metabolic risk factors.

Introduction: Improving the quality of diet is known as one of the practical ways to reduce cardio-metabolic risk factors (CMRFs). The carbohydrate quality index (CQI) is a relatively new index to evaluate diet quality. It is calculated based on the ratio of solid carbohydrates to total carbohydrates, dietary fibre intake, glycemic index and the ratio of whole grains to total grains. This systematic review and meta-analysis was designed to investigate the association between dietary CQI and CMRFs. Methods: In this systematic review, some international databases, including Scopus, PubMed, EMBASE, Web of Science, and Google Scholar up to July 2022, were searched according to appropriate keywords. All observational studies with an English full text assessing the association between the dietary CQI and CMRFs were included. Two researchers independently extracted the data and assessed the quality of the articles with the Newcastle-Ottawa Scale. Random/fixed-effect meta-analysis was used to pool standardized mean difference (SMD) as an effect size. Results: 11 studies with a total of 63962 subjects were found to be eligible and included in the qualitative synthesis; only BMI, WC and metabolic syndrome reached the threshold of 3 reports with the same effect size and thus only 5 were included in the meta-analysis. The main finding of the included studies was that there were inverse associations between CQI and CMRFs, mainly obesity, glucose metabolism indices, and blood pressure. In the five studies included in the random effect meta-analysis, the association between CQI and body mass index (SMD: 0.45, 95%CI: -0.12, 1.01), waist circumference (SMD: -0.09, 95%CI: -0.34, 0.15) and metabolic syndrome (SMD: 0.63, 95%CI: -0.01, 1.28) was not statistically significant. Conclusion: Although the qualitative findings support the positive association of CQI with CMRFs, the evidence is insufficient to conclude robust findings. Further observational and interventional studies are needed to clearly elucidate this association.

Efficacy of metformin combined with liraglutide on the glucose and lipid metabolism, vascular endothelial function, and oxidative stress of patients with T2DM and metabolic syndrome.

This study evaluates the impact of metformin combined with liraglutide on the glucose and lipid metabolism, oxidative stress, and vascular endothelium of patients with type-2 diabetes mellitus (T2DM) and metabolic syndrome. Medical records of 78 patients with T2DM and metabolic syndrome, admitted to Caoxian People's Hospital from July 2021 to July 2022, were retrospectively analysed. Thirty five patients were treated with metformin (control group), and 43 patients were treated with metformin combined with liraglutide (observation group). Indexes of glucose and lipid metabolism, function of vascular endothelium and the oxidative stress of both groups were compared before and after the treatment. There was a significant decrease in the levels of fasting plasma glucose (FPG), Glycosylated Hemoglobin A1c (HbA1c), triglyceride (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), systolic blood pressure (SBP), diastolic blood pressure (DBP) and waist circumference in both groups three months after the treatment, These indexes were significantly lower in the observation group compared to the control group (P<0.05). High-density lipoprotein cholesterol (HDL-C) levels were higher in the observation group (P<0.05). There was a significant improvement in the levels of nitric oxide (NO), endothelin-1 (ET-1), superoxide dismutase (SOD), and malondialdehyde (MDA) after the treatment, and these indexes were markedly better in the observation group compared to the control group (P<0.05). Metformin combined with liraglutide treatment is associated with better outcomes than metformin alone in patients with T2DM and metabolic syndrome. Combined treatment results in improved glucose and lipid metabolism, vascular endothelial function, and oxidative stress index values.

Effects of vitamin D supplementation on glucose and lipid metabolism in patients with type 2 diabetes mellitus and risk factors for insulin resistance.

Type 2 diabetes mellitus (T2DM) is a chronic metabolic disease featured by insulin resistance (IR) and decreased insulin secretion. Currently, vitamin D deficiency is found in most patients with T2DM, but the relationship between vitamin D and IR in T2DM patients requires further investigation. To explore the risk factors of IR and the effects of vitamin D supplementation on glucose and lipid metabolism in patients with T2DM. Clinical data of 162 T2DM patients treated in First Affiliated Hospital of Harbin Medical University between January 2019 and February 2022 were retrospectively analyzed. Based on the diagnostic criteria of IR, the patients were divided into a resistance group (n = 100) and a non-resistance group (n = 62). Subsequently, patients in the resistance group were subdivided to a conventional group (n = 44) or a joint group (n = 56) according to the treatment regimens. Logistic regression was carried out to analyze the risk factors of IR in T2DM patients. The changes in glucose and lipid metabolism indexes in T2DM patients with vitamin D deficiency were evaluated after the treatment. Notable differences were observed in age and body mass index (BMI) between the resistance group and the non-resistance group (both P < 0.05). The resistance group exhibited a lower 25-hydroxyvitamin D3 (25(OH)D3) level, as well as notably higher levels of 2-h postprandial blood glucose (2hPG), fasting blood glucose (FBG), and glycosylated hemoglobin (HbA1c) than the non-resistance group (all P < 0.0001). Additionally, the resistance group demonstrated a higher triglyceride (TG) level but a lower high-density lipoprotein-cholesterol (HDL-C) level than the non-resistance group (all P < 0.0001). The BMI, TG, HDL-C, 25(OH)D3, 2hPG, and HbA1c were found to be risk factors of IR. Moreover, the post-treatment changes in levels of 25(OH)D3, 2hPG, FBG and HbA1c, as well as TG, total cholesterol, and HDL-C in the joint group were more significant than those in the conventional group (all P < 0.05). Patients with IR exhibit significant abnormalities in glucose and lipid metabolism parameters compared to the non-insulin resistant group. Logistic regression analysis revealed that 25(OH)D3 is an independent risk factor influencing IR. Supplementation of vitamin D has been shown to improve glucose and lipid metabolism in patients with IR and T2DM.

Salsalate and/or metformin therapy confer beneficial metabolic effects in olanzapine treated female mice

Antipsychotic medications are used in the management of schizophrenia and a growing number of off-label conditions. While effective at reducing psychoses, these drugs possess noted metabolic side effects including weight gain, liver lipid accumulation and disturbances in glucose and lipid metabolism. To counter the side effects of antipsychotics standard of care has typically included metformin. Unfortunately, metformin does not protect against antipsychotic induced metabolic disturbances in all patients and thus additional treatment approaches are needed. One potential candidate could be salsalate, the prodrug of salicylate, which acts synergistically with metformin to improve indices of glucose and lipid metabolism in obese mice. The purpose of the current investigation was to compare the effects of salsalate, metformin and a combination of both drugs, on weight gain and indices of metabolic health in female mice treated with the antipsychotic, olanzapine. Herein we demonstrate that salsalate was equally as effective as metformin in protecting against olanzapine induced weight gain and liver lipid accumulation with no additional benefit of combining both drugs. Conversely, metformin treatment, either alone or in combination with salsalate, improved indices of glucose metabolism and increased energy expenditure in olanzapine treated mice. Collectively, our findings provide evidence that dual therapy with both metformin and salsalate could be an efficacious approach with which to dampen the metabolic consequences of antipsychotic medications.

Differential effects on renal function and glucose metabolism of renal dependent bezafibrate and non-renal dependent pemafibrate in patients with hypertriglyceridemia.

Among fibrates as triglyceride-lowering agents, bezafibrate and fenofibrate are predominantly renally excreted, while pemafibrate is mainly hepatically metabolized and biliary excreted. To elucidate possible different properties among fibrates, this retrospective observational study examined the changes in clinical laboratory parameters, including indices of renal function and glucose metabolism, in cases of switching from bezafibrate to pemafibrate. In 93 patients with hypertriglyceridemia, the average values of laboratory parameters including serum creatinine, estimated glomerular filtration rate (eGFR), plasma glucose, and hemoglobin A1c on respective two occasions before and after switching from bezafibrate to pemafibrate were evaluated. Triglycerides, low-density and high-density lipoprotein cholesterol, creatine kinase, and uric acid did not change before and after switching from bezafibrate to pemafibrate. Serum creatinine significantly decreased and eGFR significantly increased after switching from bezafibrate to pemafibrate (p<0.001, respectively). Plasma glucose tended to increase (p=0.070) and hemoglobin A1c significantly increased (p<0.001) after switching to pemafibrate. The degrees of changes in creatinine, eGFR, glucose, and hemoglobin A1c before and after drug switching were not affected by the presence or absence of coexisting disease, and with or without drug treatment including statin and renin-angiotensin system inhibitor. Our findings indicate that switching from bezafibrate to pemafibrate produces a significant decrease in serum creatinine and increases in eGFR and hemoglobin A1c in patients with hypertriglyceridemia, suggesting that the effects on renal function and glucose metabolism differ among fibrates.

Effects of Salinity Stress on Histological Changes, Glucose Metabolism Index and Transcriptomic Profile in Freshwater Shrimp, Macrobrachium nipponense.

Salinity is an important factor in the aquatic environment and affects the ion homeostasis and physiological activities of crustaceans. Macrobrachium nipponense is a shrimp that mainly lives in fresh and low-salt waters and plays a huge economic role in China's shrimp market. Currently, there are only a few studies on the effects of salinity on M. nipponense. Therefore, it is of particular importance to study the molecular responses of M. nipponense to salinity fluctuations. In this study, M. nipponense was set at salinities of 0, 8, 14 and 22‱ for 6 weeks. The gills from the control (0‱) and isotonic groups (14‱) were used for RNA extraction and transcriptome analysis. In total, 593 differentially expressed genes (DEGs) were identified, of which 282 were up-regulated and 311 were down-regulated. The most abundant gill transcripts responding to different salinity levels based on GO classification were organelle membrane (cellular component), creatine transmembrane transporter activity (molecular function) and creatine transmembrane transport (biological function). KEGG analysis showed that the most enriched and significantly affected pathways included AMPK signaling, lysosome and cytochrome P450. In addition, 15 DEGs were selected for qRT-PCR verification, which were mainly related to ion homeostasis, glucose metabolism and lipid metabolism. The results showed that the expression patterns of these genes were similar to the high-throughput data. Compared with the control group, high salinity caused obvious injury to gill tissue, mainly manifested as contraction and relaxation of gill filament, cavity vacuolation and severe epithelial disintegration. Glucose-metabolism-related enzyme activities (e.g., pyruvate kinase, hexokinase, 6-phosphate fructose kinase) and related-gene expression (e.g., hexokinase, pyruvate kinase, 6-phosphate fructose kinase) in the gills were significantly higher at a salinity of 14‱. This study showed that salinity stress activated ion transport channels and promoted an up-regulated level of glucose metabolism. High salinity levels caused damage to the gill tissue of M. nipponense. Overall, these results improved our understanding of the salt tolerance mechanism of M. nipponense.

Clinical correlates and thyroid hormones of metabolic syndrome in first-episode and drug-naïve major depressive disorder outpatients with and without hyperglycemia: a comprehensive cross-sectional study

Hyperglycemia and metabolic syndrome (MetS) are common in patients with major depressive disorder (MDD). This study aimed to explore the prevalence and clinical factors of MetS in first-episode and drug-naïve MDD (FEDND) patients with and without hyperglycemia. A total of 1,718 FEDND patients’ symptoms were assessed using the Hamilton Depression Scale (HAMD), Hamilton Anxiety Scale (HAMA), and positive subscale of the Positive and Negative Syndrome Scale (PANSS). Blood glucose levels, metabolic index, and thyroid hormones were measured during fasting. The prevalence of MetS in FEDND patients with hyperglycemia was 35.67 times higher than in FEDND patients without hyperglycemia. FEDND patients with MetS were older, had later age of onset, and were predominantly married than those without MetS (p < 0.05). Among FEDND patients without hyperglycemia, suicide attempts, severe anxiety, HAMD, HAMA, PANSS subscale scores, thyroid stimulating hormone, antithyroglobulin, and total cholesterol levels were all higher in patients with MetS than those without MetS (all p < 0.05). In FEDND patients without hyperglycemia, the combination of age and TgAb distinguished those patients with and without MetS. Our results suggest a high prevalence of MetS in FEDND patients with hyperglycemia. Several clinical variables and thyroid function-related hormones impact MetS in patients with FEDND.

Denosumab Improves Glycaemic Parameters in Postmenopausal Osteoporosis Patients with Combined Type 2 Diabetes Mellitus.

This study aimed to determine whether RANKL inhibitors in postmenopausal osteoporosis patients with combined type 2 diabetes mellitus (T2DM) could improve their glucose metabolism index. First of all, 84 patients affected with postmenopausal osteoporosis with combined T2DM attending the Department of Endocrinology at the Third Hospital of Hebei Medical University were selected and randomized into two groups of 42 patients each. One group was given Denosumab 60 mg once every six months (denosumab group, D.G.), and the other group was given 2 mg ibandronate once every three months (ibandronate group, I.G.). Blood glucose parameters were compared before and after treatment in both groups and serum active GLP-1 levels and DPP-4 levels were also assessed. After treatment, there was no significant difference in fasting glucose between the two groups, but there was a significant decrease in fasting glucose in the Denosumab Group (D.G.) compared to before treatment. There was a significant difference in 2-hour postprandial glucose (2hPG) between the two groups after treatment, with the D.G. being lower than the ibandronate group (I.G.). Glycosylated haemoglobin (HbA1c) was lower in the D.G. than in the I.G. after treatment, but the difference between them was insignificant. In the D.G., serum active GLP-1 levels increased after treatment, and serum DPP-4 levels decreased. Serum GLP-1 and DPP-4 levels in the I.G. did not change compared with those before treatment. In conclusion, In the clinical management of postmenopausal osteoporosis patients with combined T2DM, the choice of RANKL inhibitors as anti-osteoporosis therapy may benefit their glycaemic parameters by elevating serum active GLP-1 levels and decreasing serum DPP-4 levels.

Former long-term use of combined hormonal contraception and glucose metabolism disorders in perimenopausal women: A prospective, population-based cohort study.

Current use of combined hormonal contraceptives worsens glucose tolerance and increases the risk of type 2 diabetes mellitus at late fertile age, but the impact of their former use on the risk of glucose metabolism disorders is still controversial. This was a prospective, longitudinal birth cohort study with long-term follow-up consisting of 5889 women. The cohort population has been followed at birth, and at ages of 1, 14, 31 and 46. In total, 3280 (55.7%) women were clinically examined and 2780 also underwent a 2-h oral glucose tolerance test at age 46. Glucose metabolism indices were analyzed in former combined hormonal contraceptive users (n = 1371) and former progestin-only contraceptive users (n = 52) and in women with no history of hormonal contraceptive use (n = 253). Compared with women with no history of hormonal contraceptive use, those who formerly used combined hormonal contraceptives for over 10 years had an increased risk of prediabetes (odds ratio [OR] 3.9, 95% confidence interval [CI]: 1.6-9.2) but not of type 2 diabetes mellitus. Former progestin-only contraceptive use was not associated with any glucose metabolism disorders. The results persisted after adjusting for socioeconomic status, smoking, alcohol consumption, parity, body mass index and use of cholesterol-lowering medication. Former long-term use of combined hormonal contraceptives was associated with a significantly increased risk of prediabetes in perimenopausal women, which potentially indicates a need of screening for glucose metabolism disorders in these women.

Glucose Metabolism Indices and the Development of Chronic Kidney Disease: A Cohort Study of Middle-Aged and Elderly Chinese Persons.

Chronic kidney disease (CKD) has become a major global health issue, and abnormalities of glucose metabolism are a risk factor responsible for development of CKD. We aimed to investigate associations between glucose metabolism indices and CKD in a Chinese population and determine which index is superior for predicting incident CKD. We performed a community-based population on 5232 subjects aged ≥40 years without baseline CKD. CKD was defined as an estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m2 or urinary albumin-to-creatinine ratio (UACR) ≥30 mg/g. We examined the associations of glucose metabolism indices, including fasting plasma glucose (FPG), 2-hour (2 h) oral glucose tolerance test (OGTT), hemoglobin A1c (HbA1c), fasting insulin level, homeostasis model assessment of insulin resistance (HOMA-IR), and HOMA-β and the development of CKD. With an average follow-up of 3.6 years, 6.4% of the subjects developed CKD. Pearson's correlation analysis revealed that FPG, HbA1c, fasting insulin, and HOMA-IR were all significantly correlated with UACR and eGFR. The association persisted in multivariate linear regression analysis adjusted for age and sex. Compared with other glucose indices, HOMA-IR exhibited the strongest associations with CKD in COX multivariate regression analysis (HR = 1.17, 95% CI: 1.04-1.31). HOMA-IR is superior to other routine indices of glucose metabolism for predicting the development of CKD in middle-aged Chinese persons. Screening with HOMA-IR may help prevent the development of CKD in the general population.

The Relationship of Fruits and Fruit-Products Consumption with Glucose Homeostasis and Diabetes: A Comprehensive Update on the Current Clinical Literature

Type 2 diabetes mellitus is a major contributor to morbidity and mortality worldwide. This disease often leads to poor health outcomes, such as neuropathy and diabetic foot ulcers, and increased risk for comorbidities such as cardiovascular complications and renal disease. Lifestyle modifications including diet and physical activity interventions are often explored as prevention and management strategies for T2DM. It is well established that fruits are a rich source of fiber and a variety of phytochemicals, vitamins, minerals, and bioactive compounds that can help optimize human health. Unfortunately, many experts associate the consumption of fruit with a moderate to high glycemic index (GI), which leads to a spike in blood glucose and eventually elevated hemoglobin A1c (HbA1c). The purpose of this comprehensive review is to outline the current clinical literature on the relationship between fruit consumption and various indices of glucose metabolism. A variety of fruits have been clinically studied to determine this relationship, namely in the fresh form (e.g., berries, apples, watermelon, cherries, mangoes), dried fruits (raisins and dates), and juices (derived from cranberry, orange, grape, cherry, and pomegranate). Overall, intake of fruits and fruit-derived products is beneficial for healthy subjects and subjects with T2DM regarding their impact on glucose metabolism and other cardiometabolic markers (e.g., inflammatory responses, lipid profiles). Nonetheless, it is more advisable for diabetic patients to consume fresh or dried fruits rather than fruit-derived products. A special consideration needs to be attributed to both the amount of fruit intake with regards to their respective GI and glycemic load (GL), and when these fruits are consumed. Trials with more a comprehensive design and specific outcomes are required to reveal the mechanisms underlying the beneficial effects of fruit consumption on the T2DM population particularly.

Longitudinal changes in pancreatic volume and pancreatic fat with weight gain in Japanese without diabetes: An analysis using health check-up data

Aims/introductionThere have been few reports about the longitudinal changes in pancreas volume (PV) or pancreatic steatosis (PS) in response to obesity. In this longitudinal analysis using health check-up data, we explored changes in PV, PS and glucose metabolic indices that occurred after weight gain in Japanese without diabetes. Materials/methodsClinical data on 37 Japanese subjects with a ≥1 kg/m2 increase in body mass index between two health check-ups and without diabetes were collected. PV, pancreas attenuation (PA) and splenic attenuation (SA) were evaluated using computed tomography (CT) images. The pancreas area was outlined by hand in multiple images with slice thickness of 2 mm, and the PV was computed by summing these areas. PS was defined as the difference between SA and PA (SA-PA). Medical records were collected, including findings on immunoreactive insulin (IRI), homeostasis model assessment of insulin resistance (HOMA-R) and beta cell function (HOMA-β). Paired t-test and Spearman's correlation coefficient were used in the analyses. ResultsThe median follow-up period was 21.1 months and the mean BMI was increased from 25.5 ± 3.3 kg/m2 to 27.0 ± 3.3 kg/m2. PV (53.5 ± 15.9 cm3 vs. 56.2 ± 16.4 cm3) and SA-PA (8.7 ± 9.1 HU vs. 13.6 ± 10.9 HU) increased significantly after weight gain (both, P < 0.001). There were significant increases of IRI and HOMA-R with the weight gain (both, P < 0.05), whereas HOMA-β exhibited only a nonsignificant trend of increase (55.4％ (41.5-65.5) vs. 56.8％ (46.2-83.7), P = 0.07). ConclusionsBoth PV and PS were increased longitudinally with weight gain in Japanese without diabetes.

Effects of acute changes in fasting glucose and free fatty acid concentrations on indices of β-cell function and glucose metabolism in subjects without diabetes.

Elevated fasting free fatty acids (FFAs) and fasting glucose are additively associated with impaired glucose tolerance (IGT) and decreased β-cell function [quantified as disposition index (DI)]. We sought to examine how changes in fasting FFA and glucose alter islet function. We studied 10 subjects with normal fasting glucose (NFG) and normal glucose tolerance (NGT) on two occasions. On one occasion, Intralipid and glucose were infused overnight to mimic conditions present in IFG/IGT. In addition, we studied seven subjects with IFG/IGT on two occasions. On one occasion, insulin was infused to lower overnight FFA and glucose concentrations to those observed in people with NFG/NGT. The following morning, a labeled mixed meal was used to measure postprandial glucose metabolism and β-cell function. Elevation of overnight fasting FFA and glucose in NFG/NGT did not alter peak or integrated glucose concentrations (2.0 ± 0.1 vs. 2.0 ± 0.1 Mol per 5 h, Saline vs. Intralipid/glucose, P = 0.55). Although overall β-cell function quantified by the Disposition Index was unchanged, the dynamic component of β-cell responsivity (ϕd) was decreased by Intralipid and glucose infusion (9 ± 1 vs. 16 ± 3 10-9, P = 0.02). In people with IFG/IGT, insulin did not alter postprandial glucose concentrations or indices of β-cell function. Endogenous glucose production and glucose disappearance were also unchanged in both groups. We conclude that acute, overnight changes in FFA, and glucose concentrations do not alter islet function or glucose metabolism in prediabetes.NEW & NOTEWORTHY This experiment studied the effect of changes in overnight concentrations of free fatty acids (FFAs) and glucose on β-cell function and glucose metabolism. In response to elevation of these metabolites, the dynamic component of the β-cell response to glucose was impaired. This suggests that in health overnight hyperglycemia and FFA elevation can deplete preformed insulin granules in the β-cell.

The metabolic score of insulin resistance is positively correlated with bone mineral density in postmenopausal patients with type 2 diabetes mellitus

The prevalence of type 2 diabetes mellitus (T2DM) complicated with osteoporosis (OP) is increasing yearly. Early prevention, detection and treatment of OP are important in postmenopausal patients with T2DM. This study aimed to explore the correlation between insulin resistance and bone mineral density (BMD), and OP in postmenopausal patients with T2DM. In this study, postmenopausal patients with T2DM who visited our hospital from January 2021 to March 2022 were divided into the OP group (n = 91) and non-OP group (n = 119) according to whether they were complicated with OP or not. The general data of patients, BMD, blood routine, glucose metabolism, lipid metabolism, liver and kidney function indexes were collected, and the homeostatic model assessment for IR (HOMA-IR), the triglyceride-glucose (TyG) index and the metabolic score for IR (METS-IR) were calculated. A weighted multivariate linear regression model assessed the correlation between insulin resistance (IR) related indexes and lumbar spine, femoral neck, and hip BMD. A weighted logistic regression model assessed the odds ratios (ORs) and 95% confidence intervals (95% CIs) for the association between the IR-related indexes and OP risk. The nonlinear relationship was also evaluated by smooth curve fitting (SCF) and a weighted generalized additive model (GAM). Moreover, the Receiver-operating characteristics (ROC) curve was used to analyze the predictive efficiency of METS-IR in postmenopausal patients with T2DM with OP. HOMA-IR, TyG, and METS-IR in the OP group were lower than those in the non-OP group (all P < 0.05). Weighted multiple linear regression after adjusting covariates showed that METS-IR was positively correlated with the lumbar spine, femoral neck, and hip BMD (βMETS-IR = 0.006,0.005,0.005, all P < 0.001). The results of weighted Logistic regression and GAM showed that when METS-IR < 44.5, each unit of increased METS-IR value was associated with a decreased OP risk of 12% (P = 0.002). When METS-IR ≥ 44.5, there was no significant correlation between METS-IR and the risk of OP (OR = 1.00, P = 0.934). Similar trends were not observed in HOMA-IR and TyG. The ROC suggested helpful discriminative power of the METS-IR index for T2DM. We confirmed that METS-IR, as a novel alternative marker of IR, had a positive association with BMD in postmenopausal patients with T2DM, and METS-IR was a protective factor for OP in a specific range.

Associations of apolipoproteinA1, high density lipoprotein cholesterol with hemoglobin glycation index and triglyceride-glucose index in Chinese adults with coronary artery disease

AimsScarce data explored the associations of apolipoproteins with hemoglobin glycation index (HGI) and triglyceride-glucose (TyG) index. This study determined associations of serum apolipoproteinA1 (ApoA1) and high density lipoprotein cholesterol (HDL-C) with HGI and TyG index in coronary artery disease (CAD) patients. MethodsA total of 10,803 CAD patients were included in this cross-sectional pilot study. Serum concentrations of ApoA1 and HDL-C were measured. Analyses of covariance were used to compare the mean differences in glucose metabolism indices (e.g., HGI, TyG index, hemoglobin glycation [HbA1c], fasting blood glucose [FBG]) among the quartiles of ApoA1, HDL-C and HDL-C/ApoA1 ratio. ResultsIn multivariate analysis, higher ApoA1, HDL-C and HDL-C/ApoA1 ratio were associated with significantly lower HGI (Quartile [Q]4 vs. Q1: −0.032 % vs. 0.017 % for ApoA1; −0.072 % vs. 0.079 % for HDL-C; −0.083 % vs. 0.085 % for HDL-C/ApoA1 ratio). Intermediate ApoA1 level was inversely associated with TyG index (Q2 vs. Q1: 296.278 vs. 306.794). The mean TyG index were significantly decreased with increased HDL-C and HDL-C/ApoA1 ratio (Q4 vs. Q1: 298.584 vs. 309.221 for HDL-C; 300.405 vs. 315.218 for HDL-C/ApoA1 ratio). Moreover, the inverse associations of ApoA1, HDL-C and HDL-C/ApoA1 ratio with HbA1c and FBG also were observed. In path analysis, the associations of HDL-C and HDL-C/ApoA1 ratio with TyG index were mediated by obesity. ConclusionThis study provided further support for the hypoglycemic effects of ApoA1 and HDL-C in patients with CAD. Replication of these findings is warranted in further longitudinal studies in different populations.

Habitual intake of advanced glycation endproducts is not associated with worse insulin sensitivity, worse beta cell function, or presence of prediabetes or type 2 diabetes: The Maastricht Study

A diet high in advanced glycation endproducts (AGEs) is a potential risk factor for insulin resistance, beta cell dysfunction, and ultimately type 2 diabetes. We investigated associations between habitual intake of dietary AGEs and glucose metabolism in a population-based setting. In 6275 participants of The Maastricht Study (mean±SD age: 60±9, 15.1% prediabetes and 23.2% type 2 diabetes), we estimated habitual intake of dietary AGEs Nε-(carboxymethyl)lysine (CML), Nε-(1-carboxyethyl)lysine (CEL), and Nδ-(5-hydro-5-methyl-4-imidazolon-2-yl)-ornithine (MG-H1) by combining a validated food frequency questionnaire (FFQ) with our mass-spectrometry dietary AGE database. We determined insulin sensitivity (Matsuda- and HOMA-IR index), beta cell function (C-peptidogenic index, glucose sensitivity, potentiation factor, and rate sensitivity), glucose metabolism status, fasting glucose, HbA1c, post-OGTT glucose, and OGTT glucose incremental area under the curve. Cross-sectional associations between habitual AGE intake and these outcomes were investigated using a combination of multiple linear regression and multinomial logistic regression adjusting for several potential confounders (demographic, cardiovascular, and lifestyle factors). Generally, higher habitual intake of AGEs was not associated with worse indices of glucose metabolism, nor with increased presence of prediabetes or type 2 diabetes. Higher dietary MG-H1 was associated with better beta cell glucose sensitivity. The present study does not support an association of dietary AGEs with impaired glucose metabolism. Whether higher intake of dietary AGEs translates to increased incidence of prediabetes or type 2 diabetes on the long term should be investigated in large prospective cohort studies.