Sex- and time-specific associations of obesity with glycaemic traits: A two-step multivariate Mendelian randomization study.

AIM: To assess the sex- and time-specific causal effects of obesity-related anthropometric traits on glycaemic traits. MATERIALS AND METHODS: We used univariate and multivariate Mendelian randomization to assess the causal associations of anthropometric traits (gestational variables, birth weight, childhood body mass index [BMI], BMI, waist-to-hip ratio [WHR], BMI-adjusted WHR [WHRadj BMI]) with fasting glucose and insulin in Europeans from the Early Growth Genetics Consortium (n ≤ 298 142), the UK Biobank, the Genetic Investigation of Anthropometric Traits Consortium (n ≤ 697 734; females: n ≤ 434 794; males: n ≤ 374 754) and the Meta-Analyses of Glucose and Insulin-related traits Consortium (n ≤ 151 188; females: n ≤ 73 089; males: n ≤ 67 506), adjusting for maternal genetic effects, smoking, alcohol consumption, and age at menarche. RESULTS: We observed a null association for gestational variables, a negative association for birth weight, and positive associations for childhood BMI and adult traits (BMI, WHR, and WHRadj BMI). In female participants, increased birth weight causally decreased fasting insulin (betaIVW , -0.07, 95% confidence interval [CI] -0.11 to -0.03; p = 1.92 × 10-3 ), but not glucose levels, which was annulled by adjusting for age at menarche. In male participants, increased birth weight causally decreased fasting glucose (betainverse-variance-weighted (IVW) , -0.07, 95% CI -0.11 to -0.03; p = 3.22 × 10-4 ), but not insulin levels. In time-specific analyses, independent effects of birth weight were absent in female participants, and were more pronounced in male participants. Independent effects of childhood BMI were attenuated in both sexes; independent effects of adult traits differed by sex. CONCLUSIONS: Our findings provide evidence for causal and independent effects of sex- and time-specific anthropometric traits on glycaemic variables, and highlight the importance of considering multiple obesity exposures at different time points in the life course.

Identification and Physiological Assays of Crustacean Hyperglycemic Hormones in the Japanese Spiny Lobster, Panulirus japonicus.

The Japanese spiny lobster Panulirus japonicus lives on rocky shores and is mainly distributed along the Pacific coast around Japan. Due to the high demand for it, the development of aquaculture systems and increasing its resource volume requires further expansive production. However, a major factor preventing the establishment of aquaculture technology for this lobster is the difficulty with rearing processes from larval to juvenile production. A recent study shed light on the molecular mechanisms underlying larval development from the perspective of physiological functions of endocrine factors such as molting hormones. However, physiological studies of P. japonicus are still lacking. In decapod crustaceans, the X-organ/sinus gland complex is a well-known endocrine system that secretes the crustacean hyperglycemic hormone (CHH)-superfamily peptides that regulate growth, molting, sexual maturation, reproduction, and change in body color. In this study, we identified two CHHs from the sinus glands of P. japonicus using reversed-phase high-performance liquid chromatography in order to elucidate their physiological function for the first time.

Safety assessment of crude aqueous methanol extract of Annona senegalensis stem bark: acute and sub-chronic toxicity studies.

Annona senegalensis Pers., (wild custard apple), is a shrub used traditionally to treat respiratory and skin diseases. Previous studies have demonstrated its anti-malaria, anti-snake envenomation and anti-cancer activities. However, its toxicological profile remains limited, particularly in male and female animals. This study aims to evaluate the safety of crude aqueous methanol extract of Annona senegalensis stem bark (AMEAS) through acute and sub-chronic toxicity studies. The stem bark of A. senegalensis was collected, air-dried, pulverized, and extracted using 70% methanol. Phytochemical screening, elemental analysis, and acute toxicity evaluation were carried out on AMEAS. Sub-chronic toxicity study was conducted on Wistar rats of both sexes at different doses administered orally for 28 days. Elemental analysis revealed the presence of heavy metals and essential mineral elements with the highest contents being calcium (59.88%) and potassium (25.39%). Acute toxicity testing showed no mortality up to 5000 mg/kg, suggesting an LD50 greater than 5000 mg/kg. In the sub-chronic toxicity study, no mortality or significant harmful effects were observed. The blood glucose decreased from 13.68 mMol/L at 250 mg/kg to 10.71 mMol/L at 1000 mg/kg, much lower than the distilled water group (17.06 mMol/L). In conclusion, the extract appeared to be well-tolerated, with no obvious adverse effects. AMEAS is rich in Calcium (Ca) and potassium (K). It has been shown to have LD50 greater than 5000 mg/kg and is assumed to be safe. On repeated use, AMEAS may cause hypoglycemia and weight loss which may be useful in managing diabetes and obesity respectively.

Nanosensors Based on Bimetallic Plasmonic Layer and Black Phosphorus: Application to Urine Glucose Detection.

This paper presents a new biosensor design based on the Kretschmann configuration, for the detection of analytes at different refractive indices. Our studied design consists of a TiO2/SiO2 bi-layer sandwiched between a BK7 prism and a bimetallic layer of Ag/Au plasmonic materials, covered by a layer of black phosphorus placed below the analyte-containing detection medium. The different layers of our structure and analyte detection were optimized using the angular interrogation method. High performance was achieved, with a sensitivity of 240 deg/RIU and a quality factor of 34.7 RIU-1. This biosensor can detect analytes with a wide refractive index range between 1.330 and 1.347, such as glucose detection in urine samples using a refractive index variation of 10-3. This capability offers a wide range of applications for biomedical and biochemical detection and selectivity.

Comment on Martínez-Delgado et al. Using Absorption Models for Insulin and Carbohydrates and Deep Leaning to Improve Glucose Level Predictions. Sensors 2021, 21, 5273.

The paper "Using Absorption Models for Insulin and Carbohydrates and Deep Leaning to Improve Glucose Level Predictions" (Sensors2021, 21, 5273) proposes a novel approach to predicting blood glucose levels for people with type 1 diabetes mellitus (T1DM). By building exponential models from raw carbohydrate and insulin data to simulate the absorption in the body, the authors reported a reduction in their model's root-mean-square error (RMSE) from 15.5 mg/dL (raw) to 9.2 mg/dL (exponential) when predicting blood glucose levels one hour into the future. In this comment, we demonstrate that the experimental techniques used in that paper are flawed, which invalidates its results and conclusions. Specifically, after reviewing the authors' code, we found that the model validation scheme was malformed, namely, the training and test data from the same time intervals were mixed. This means that the reported RMSE numbers in the referenced paper did not accurately measure the predictive capabilities of the approaches that were presented. We repaired the measurement technique by appropriately isolating the training and test data, and we discovered that their models actually performed dramatically worse than was reported in the paper. In fact, the models presented in the that paper do not appear to perform any better than a naive model that predicts future glucose levels to be the same as the current ones.

Gene-environment interaction in type 2 diabetes in Korean cohorts: Interaction of a type 2 diabetes polygenic risk score with triglyceride and cholesterol on fasting glucose levels.

Type 2 diabetes (T2D) is caused by genetic and environmental factors as well as gene-environment interactions. However, these interactions have not been systematically investigated. We analyzed these interactions for T2D and fasting glucose levels in three Korean cohorts, HEXA, KARE, and CAVAS, using the baseline data with a multiple regression model. Two polygenic risk scores for T2D (PRST2D ) and fasting glucose (PRSFG ) were calculated using 488 and 82 single nucleotide polymorphisms (SNP) for T2D and fasting glucose, respectively, which were extracted from large-scaled genome-wide association studies with multiethnic data. Both lifestyle risk factors and T2D-related biochemical measurements were assessed. The effect of interactions between PRST2D -triglyceride (TG) and PRST2D -total cholesterol (TC) on fasting glucose levels was observed as follows: ß ± SE = 0.0005 ± 0.0001, p = 1.06 × 10-19 in HEXA, ß ± SE = 0.0008 ± 0.0001, p = 2.08 × 10-8 in KARE for TG; ß ± SE = 0.0006 ± 0.0001, p = 2.00 × 10-6 in HEXA, ß ± SE = 0.0020 ± 0.0004, p = 2.11 × 10-6 in KARE, ß ± SE = 0.0007 ± 0.0004, p = 0.045 in CAVAS for TC. PRST2D -based classification of the participants into four groups showed that the fasting glucose levels in groups with higher PRST2D were more adversely affected by both the TG and TC. In conclusion, blood TG and TC levels may affect the fasting glucose level through interaction with T2D genetic factors, suggesting the importance of consideration of gene-environment interaction in the preventive medicine of T2D.

Hypoglycemic and hypolipidemic effect of pentaamino acid fullerene C60 derivative in rats with metabolic disorder.

Pentaamino acid fullerene C60 derivative is a promising nanomaterial, which exhibited antihyperglycemic activity in high-fat diet and streptozotocin-induced diabetic rats. This study investigates the effect of pentaaminoacid C60 derivative (PFD) in rats with metabolic disorders. Rats were assigned to 3 groups (of 10 rats each) as follows: Group 1 (normal control), group 2 included the protamine-sulfate-treated rats (the untreated group of animals with the model metabolic disorder); group 3 (Protamine sulfate + PFD) included the protamine-sulfate-treated model rats that received an intraperitoneal injection of PFD. Metabolic disorder in rats was initiated by protamine sulfate (PS) administration. The PS + PFD group was injected intraperitoneally with PFD solution (3 mg/kg). Protamine sulfate induces biochemical changes (hyperglycemia, hypercholesterolemia, and hypertriglyceridemia) in the blood and morphological lesions in rat liver and pancreas. The potassium salt of fullerenylpenta-N-dihydroxytyrosine in protamine sulfate-induced rats normalized blood glucose level and the serum lipid profile and improved hepatic function markers. Treatment with PFD restored pancreas islets and liver structure of protamine sulfate-induced rats compared to the untreated group. PFD is a promising compound for further study as a drug against metabolic disorders.

Delayed Eating Schedule Raises Mean Glucose Levels in Young Adult Males: a Randomized Controlled Cross-Over Trial.

BACKGROUND: Misalignment of meals to the biological clock may cause adverse effects on glucose metabolism. However, the effects of repeated different eating schedules (early compared with late) on glucose concentration throughout the day are poorly understood. OBJECTIVES: We examined the effects of different eating schedules on the 24-h glucose response using a continuous glucose monitor (CGM). METHODS: Eight young adult males (age, 20.9 ± 3.4 y; body mass index: 21.3 ± 1.8 kg/m2) each followed 2 different eating schedules (early [08:30, 13:30, and 19:30] and late [12:00, 17:00, and 23:00]) in random order. These diet interventions were conducted for 8 d, with an experimental period of 3 d and 2 nights (from dinner on day 7) after 7 d of free living. The 3 meals in each intervention were nutritionally equivalent (55% carbohydrate, 15% protein, and 30% fat). The 24-h mean interstitial glucose concentration on day 8 was obtained under controlled conditions using the CGM (primary outcome). These concentrations were compared among the following 3 schedules using Dunnett's test, with the early eating schedule as reference (1 compared with 2 and 1 compared with 3): 1) early eating schedule (control), 2) late eating schedule according to the clock time (08:00 on day 8 to 08:00 on day 9), and 3) late eating schedule according to the time elapsed since the first meal for 24 h. RESULTS: The 24-h mean ± SD interstitial glucose concentrations when participants followed the late eating schedule were higher than those when they followed the early eating schedule in terms of clock time (91.2 ± 2.9 compared with 99.2 ± 4.6 mg/dL, P = 0.003) and time elapsed (91.2 ± 2.9 compared with 98.3 ± 3.8 mg/dL, P < 0.001). CONCLUSIONS: A late eating schedule increases the mean 24-h interstitial glucose concentration in young adult males. This insight will have useful implications in determining meal timings, especially for those with conditions such as diabetes.

Impact of total intravenous anesthesia and total inhalation anesthesia as the anesthesia maintenance approaches on blood glucose level and postoperative complications in patients with type 2 diabetes mellitus: a double-blind, randomized controlled trial.

BACKGROUND: Diabetes mellitus is a prevalent metabolic disease in the world. Previous studies have shown that anesthetics can affect perioperative blood glucose levels which related to adverse clinical outcomes. Few studies have explored the choice of general anesthetic protocol on perioperative glucose metabolism in diabetes patients. We aimed to compare total intravenous anesthesia (TIVA) with total inhalation anesthesia (TIHA) on blood glucose level and complications in type 2 diabetic patients undergoing general surgery. METHODS: In this double-blind controlled trial, 116 type 2 diabetic patients scheduled for general surgery were randomly assigned to either the TIVA group or TIHA group (n = 56 and n = 60, respectively). The blood glucose level at different time points were measured and analyzed by the repeated-measures analysis of variance. The serum insulin and cortisol levels were measured and analyzed with t-test. The incidence of complications was followed up and analyzed with chi-square test or Fisher's exact test as appropriate. The risk factors for complications were analyzed using the logistic stepwise regression. RESULTS: The blood glucose levels were higher in TIHA group than that in TIVA group at the time points of extubation, 1 and 2 h after the operation, 1 and 2 days after the operation, and were significantly higher at 1 day after the operation (10.4 ± 2.8 vs. 8.1 ± 2.1 mmol/L; P < 0.01). The postoperative insulin level was higher in TIVA group than that in TIHA group (8.9 ± 2.9 vs. 7.6 ± 2.4 IU/mL; P = 0.011). The postoperative cortisol level was higher in TIHA group than that in TIVA group (15.3 ± 4.8 vs. 12.2 ± 8.9 ug/dL ; P = 0.031). No significant difference regarding the incidence of complications between the two groups was found based on the current samples. Blood glucose level on postoperative day 1 was a risk factor for postoperative complications (OR: 1.779, 95%CI: 1.009 ~ 3.138). CONCLUSIONS: TIVA has less impact on perioperative blood glucose level and a better inhibition of cortisol release in type 2 diabetic patients compared to TIHA. A future large trial may be conducted to find the difference of complications between the two groups. TRIAL REGISTRATION: The protocol registered on the Chinese Clinical Trials Registry on 20/01/2020 (ChiCTR2000029247).

Associations of normal fasting glucose levels and of insulin resistance with degenerative rotator cuff tear : Normoglycemia and rotator cuff tear.

BACKGROUND: The upper normoglycemic range has been proposed as a risk factor for degenerative rotator cuff tendon tear (RCT), and insulin resistance has been suggested as a risk factor for tendinopathy. However, no research has established their association with degenerative RCT in the general population. This study aimed to determine whether fasting glucose levels and insulin resistance are risk factors for degenerative RCT in the normoglycemic population and identify the risk range for fasting glucose. METHODS: This study included 418 normoglycemic participants from a rural cohort. Participants completed questionnaires, physical exams, blood tests, and MRI evaluations of both shoulders. Insulin resistance was assessed using a triglyceride/high-density-lipoprotein (TG/HDL) ≥ 3.5. Logistic regression analysis was used to determine the association between fasting glucose level, TG/HDL ≥ 3.5, and other factors and degenerative RCT. The study calculated the areas under the receiver operating characteristic curve (AUC) to determine the more appropriate predicting value between the scale and categorical values of fasting glucose levels, and compared the AUCs using the DeLong method. RESULTS: In the multivariable analyses, both scale and categorical values of fasting glucose levels, and TG/HDL ≥ 3.5 were significantly associated with degenerative RCT. Fasting glucose levels ≥ 90.5 mg/dL (OR: 3.87, 95% CI: 2.10-7.06) in scale value and 90-99 mg/dL (OR: 4.13, 95% CI: 2.87-8.12) in categorical value were significantly associated with degenerative RCT (P < .001). The AUC of the scale value of fasting glucose levels ≥ 90.5 mg/dL was 0.68. The AUC of the categorical value of fasting glucose levels of 90-99 mg/dL was 0.70. Because of the significantly larger AUC of the categorical value of fasting glucose levels of 90-99 mg/dL, those fasting glucose levels were determined to be independently associated with degenerative RCT (P < .001). CONCLUSIONS: High fasting glucose levels within the normal range may link to increase insulin resistance and risk of degenerative RCT. Normoglycemic levels of 90-99 mg/dL and insulin resistance may be risk factors for degenerative RCT. LEVEL OF EVIDENCE: Level III, prognostic study.

The relation between coronary artery disease and newly diagnosed dysglycemia.

INTRODUCTION: There is a known association between hyperglycemia and the presence of coronary syndrome. The purpose of this work is to study risk factors and clinical manifestations of hyperglycemia in patients diagnosed with coronary artery disease. METHODS: The study was conducted in 2018-2020 among 505 patients in Ho Chi Minh city, Vietnam. Based on the results of the glucose test at 0 and 120 min, the patients were divided into the groups: with normal glucose metabolism (control, 204), patients with impaired fasting glucose levels (175 patients, group 2), and patients with impaired glucose tolerance, including diabetes mellitus (126, group 3). Anthropometric measurements were performed, and the levels of hemoglobin HbA, glucose, lipids were measured. RESULTS: In the group of patients with fasting hyperinsulinemia, all variables (body weight, body mass index, waist circumference, LAP, creatinine clearance) differed considerably as compared to the control group (p ≤ 0.0001). Decrease in tissue sensitivity to insulin is already present at normal levels of glucose metabolism. CONCLUSIONS: The study found that diabetes mellitus and prediabetes are more typical for patients with metabolic syndrome and acute coronary syndrome. The results obtained will allow predicting the risk of developing coronary syndrome depending on the presence of diabetes mellitus or prediabetes.

Effect of zinc supplementation on blood glucose level in different age groups of diabetes type 2.

Background: Studies on humans have revealed the beneficial effects of zinc (Zn) supplementation in patients with type-2 diabetes. Aim: The present study was designed to investigate the effects of zinc supplementation on blood glucose level in type-2 diabetic patients and determine the interaction between age and zinc supplementation on type-2 diabetic patients. Methods: A randomized placebo-control trial conducted in Bashir Hospital of Sialkot, Allama Iqbal Memorial Hospital Sialkot and Civil Hospital of Daska, Sialkot. 144 diabetic patients were selected including an expected drop-out rate of 20%. All the participants were randomly divided into Group 1 (Treatment group with intervention given Zn tablets 20 mg/day) and Group 2 (control group with placebo effect). Each group was further divided into 2 age categories Category 1 (30-50 years of age) and Category 2 (51-70 Years of age). Demographic data, Anthropometric measurements, 24-h dietary recall, serum blood glucose analysis, HbA1C, and serum zinc levels were recorded at the beginning (0 day) and end of the study (60 days). Results: Final fasting serum glucose levels were significantly lowered in group 1 with (p < 0.05) as compared to group 2, but interestingly, results were significant (p < 0.05) in the older age group (51-70 years) as compared to their younger age counterparts (30-50 years) of group2. A similar trend was also found in the HbA1c, serum Zn levels and BMI of the participants. Conclusion: Results implied the possible phenomenon of better response to Zn supplementation among aged patients as compared to younger counterparts, which may suggest higher Zn demands with advanced age.

The Effect of a Checklist for Perioperative Hyperglycemia Management on Surgical Site Infections: A Randomized Controlled Trial.

PURPOSE: This study was conducted to evaluate the effect of managing perioperative normoglycemia using a structured and standardized normoglycemia checklist on surgical site infection (SSI). DESIGN: The study is a prospective randomized controlled experimental case-control study. METHODS: A normoglycemia checklist was applied to the patients selected for the experimental group preoperatively, intraoperatively, and postoperatively (continuous insulin infusion applied to keep the blood glucose level within the range of 80 to 150 mg/dl until 48 hours postoperative) according to their blood glucose levels. The routine practice available in the clinic was applied to the control group. FINDINGS: The rate of SSI development in the control group (27.5%) was significantly higher than in the experimental group (2.5%) (P < .05). The culture was examined only in patients with deep incisional SSI, and E. Coli and Gram (-) Bacillus were the most prolific microorganisms. The risk of re-hospitalization of the control group patients was 2 times higher than the experimental group (P < .05). CONCLUSIONS: This study reports the prevalence, diagnosis, and pathophysiology of perioperative hyperglycemia in patients undergoing cholecystectomy and provides a practical method for the management of blood glucose levels in surgery patients diagnosed with diabetes mellitus and developing stress hyperglycemia.

Predictors of blood glucose change and microvascular complications of type 2 diabetes mellitus patients in Felege Hiwot and Debre Markos referral hospital, North West Ethiopia.

BACKGROUND: Microvascular complications lead to disability, dependency, and accelerated morbidity and mortality. This study aimed to identify predictors of blood glucose change and time to microvascular complications among patients with type 2 diabetes. METHODS: A retrospective cohort study was conducted among type 2 diabetes mellitus patients enrolled between December 2014 and December 2015 at Felege Hiwot and Debre Markos Referral Hospital. A total of 318 T2DM patients were included in the study. Joint modelling of longitudinal and survival analysis was employed to identify predictors of Blood Glucose Change and Microvascular Complications in Type 2 Diabetes Mellitus Patients. RESULTS: The prevalence of microvascular complications in Type 2 diabetes patients was 26.3%, 95%confidence interval(CI):(21.5, 31.1). Of which, half of the patients developed a microvascular complication after 30 months from the onset of the follow-up. The significant predictors of developing microvascular complication were positive proteinurea (adjusted hazard ratio (AHR) = 1.418, 95%CI: 1.080, 1.861), Serum creatinine (AHR = 3.704, 95%CI: 1.992, 6.887), Weight (AHR = 1.058, 95%CI: 1.023, 1.094), and log fasting blood glucose(log(FBS))(AHR = 1.013, 95%CI: 1.010, 1.015). The predictors of fasting blood glucose progression were higher baseline FBS(est(estimate) = 0.002,95%CI:0.0018, 0.0022), Systolic blood pressure (SBP) (est = 0.003, 95%CI: 0.002, 0.004), diastolic blood pressure (DBP) (est = 0.002, 95%CI: 0.0002, 0.004), and age (est = 0.003, 95%CI: 0.001, 0.004). CONCLUSION: The progression of the fasting blood glucose level for rural patients was faster than for urban patients. Patients having higher baseline FBS, previous hypertension history, higher SBP, higher DBP, older age, and fewer visits to the hospital have a relatively more progressive change in blood sugar levels. Patients having higher triglyceride levels, positive proteinuria, higher fasting blood sugar, higher weight, and a lesser number of hospital visits have a higher risk of developing a complication. In response to this finding, an aggressive intervention that targets to prevent microvascular complications is required.

Glucose levels during gestational diabetes pregnancy and the risk of developing postpartum diabetes or prediabetes.

BACKGROUND: Blood glucose levels during pregnancy may reflect the severity of insulin secretory defects and/or insulin resistance during gestational diabetes mellitus (GDM) pregnancy. We hypothesized that suboptimal glycemic control in women with GDM could increase the risk of postpartum type 2 diabetes mellitus (T2DM) or prediabetes. Our objective was to evaluate the impact of plasma glucose levels throughout GDM pregnancy on the risk of postpartum T2DM or prediabetes. METHODS: The medical records of 706 women with GDM who underwent a postpartum 75-g, 2-hour oral glucose tolerance test at our institution between January 2011 and December 2018 were reviewed. These women were classified into 2 groups according to glycemic control during pregnancy: ≤ 1 occasion of either fasting glucose ≥ 95 mg/dL or 2-hour postprandial glucose ≥ 120 mg/dL was defined as optimal glycemic control or else was classified as suboptimal glycemic control. Rates of postpartum T2DM and prediabetes were compared between women with optimal (n = 505) and suboptimal (n = 201) glycemic control. RESULTS: The rates of postpartum T2DM and prediabetes were significantly higher in the suboptimal glycemic control group than in the optimal glycemic control group: 22.4% vs. 3.0%, P < 0.001 for T2DM and 45.3% vs. 23.5%, P < 0.001 for prediabetes. In a multivariate analysis, suboptimal glucose control during pregnancy was an independent risk factor for developing either postpartum T2DM or prediabetes. The adjusted odds ratios were 8.4 (95% confidence interval, 3.5-20.3) for T2DM and 3.9 (95% confidence interval, 2.5-6.1) for prediabetes. CONCLUSION: Our findings suggest that blood glucose levels during GDM pregnancy have an impact on the risk of postpartum T2DM and prediabetes.

Trends in the high blood glucose and non-alcoholic fatty liver disease among Korean adolescents.

High blood glucose level and non-alcoholic fatty liver disease (NAFLD) in adolescents are long-term risk factors for cardiovascular diseases and poor prognosis. We investigated recent trends of high blood glucose levels and NAFLD among Korean adolescents aged 12-18 years. We conducted a cross-sectional analysis using data of 5,685 adolescents aged 12-18 years from the Korea National Health and Nutrition Examination Surveys (KNHANES), from 2007-2009 to 2016-2018. Linear trends in the prevalence of high blood glucose level, NAFLD, and associated factors were assessed using multivariable logistic regression analyses. During the study period, the odds ratios for high blood glucose level and NAFLD increased significantly in both sexes and in girls, respectively (p for trend <0.05). Over-consumption of total calories in boys and fat intake in boys and girls increased significantly (p for trend <0.05). In Korean adolescents, the prevalence of high blood glucose level and NAFLD has increased recently. Efforts to modify the associated factors and further research to determine the public health measures are warranted to prevent these metabolic abnormalities in adolescents.

Screening methods for gestational diabetes mellitus in Japan in 2018: a retrospective cohort study using a national surveillance questionnaire.

This study aimed to investigate the relationship between gestational diabetes mellitus (GDM) screening methods and GDM incidences. In 2018, a national questionnaire was administered at 231 institutions (56.6%) of all 408 perinatal medical centers in Japan. Of 100,485 women, 2,982 (3.0%) were diagnosed with GDM during their first pregnancy period (FPP) and 7,289 (7.3%) were diagnosed with GDM during their middle pregnancy period (MPP). The proportion of women diagnosed with GDM during FPP and MPP using 95 mg/dL as the cutoff value (CV) for random plasma glucose (PG) at FPP (4.3% and 9.2%) was significantly higher than that of women diagnosed with GDM using 100 mg/dL as the CV for random PG (2.7% and 6.9%, p < 0.0001, respectively). Compared with women screened for GDM using "random PG and random PG," women who were screened for GDM using "random PG and 50-g glucose challenge test (GCT)" had a significantly higher incidence of GDM (6.6% versus 8.9%, p < 0.0001). Using random PG and 50-g GCT, the incidence of GDM among women diagnosed at MPP using a CV of 95 mg/dL at FPP was significantly higher than that of women diagnosed using a CV of 100 mg/dL (16.5% versus 7.8%: p < 0.0001). While, using "random PG and random PG," the incidences of GDM among women were similar between institutions using a CV of 100 mg/dL and those using a CV of 95 mg/dL at FPP (6.7% versus 6.9%: p = 0.3581). This study showed random PG as a first-step screening method in MPP may overlook women with GDM.

Correlation analysis of NT-proBNP (N-terminal probrain natriuretic peptide), 25-Hydroxyvitamin D, HMGB1(High-mobility group box 1), ACTA (endogenous activin A), blood glucose level, and electrolyte level with developmental quotient scores in neonates with hypoxic-ischemic encephalopathy.

BACKGROUND: To investigate the correlation between N-terminal probrain natriuretic peptide (NT-proBNP), 25-hydroxyvitamin D (25-(OH) D), high-mobility group box 1(HMGB1), endogenous activin A (ACTA), blood glucose level, electrolyte levels and developmental quotient (DQ) scores of Hypoxic-ischemic encephalopathy (HIE). METHODS: In this retrospective study, a total of 90 neonates diagnosed with HIE who were admitted to our hospital from January 2018 to June 2021 were retrospectively enrolled, and 40 healthy full-term neonates born in our hospital during the same period were randomly selected. Neonates with HIE and healthy conditions were set as the study group and control group, respectively. Neonates with HIE are divided into three subgroups, mild, moderate, and severe, based on the severity of HIE. The Gesell Developmental Scale (GDS) was used to assess neural development of neonates at 9 to 12 months postnatal. Biomarkers of peripheral venous blood were measured and collected in all neonates, including NT-proBNP, (25-(OH) D), HMGB1, ACTA, electrolyte levels and blood glucose levels. General demographic information and Apgar score were compared between the two groups. The differences between the two groups of biomarkers were compared and the correlation between these biomarkers and DQ scores was evaluated. RESULTS: There was no significant difference in gestational age, maternal age, gender, way of birth, birth weight, gestational age and whether the mother was a primipara between the two groups (P>0.05). The 10 min Apgar score of the study group (5.87±0.36) was lower than that of the control group (9.37±0.32) with significant difference (P<0.05). The levels of NT-proBNP, HMGB1, and ACTA in the study group were higher than that in the control group (243.87±21.29 pmol/L vs. 116.98±22.19 pmol/L; 8.92±1.87 µg/L vs. 3.28±1.08 µg/L; 23.78±0.89 ng/ml vs. 2.98±0.38 ng/ml), while the levels of 25-(OH) D and electrolyte levels were lower than that in the control group (24.28±1.87 vs. 31.29±1.93; K+: 4.49±0.23 mmol/L vs. 4.73±0.21 mmol/L; Na+: 118.76±13.02 mmol/L vs. 134.28±12.29 mmol/L; Ca2+: 1.77±0.23 mmol/L vs. 2.35±0.26 mmol/L; Mg2+: 0.61±0.17 mmol/L vs. 0.91±0.17 mmol/L), with statistically significant differences (P<0.001). The levels of NT-probNP, HMGB1, ACTA and the incidence of hypoglycemia were the highest in the severe group, which were significantly higher than those in the moderate group and mild group (P<0.05). The levels of NT-probNP, HMGB1, ACTA and the incidence of hypoglycemia were the lowest in the mild group. The 25-(OH) D level, the incidence of hyperglycemia and electrolyte levels were the lowest in the severe group, which were significantly lower than those in the moderate and mild groups (all P<0.05). Meanwhile, the 25-(OH) D level, the incidence of hyperglycemia and electrolyte levels in the moderate group were lower than those in the mild group, and the differences were statistically significant (all P<0.05). The incidence of hyperglycemia in severe group (16 cases) was the lowest, significantly lower than that in moderate group (17 cases) and mild group (22 cases), and the difference was statistically significant (all P<0.05). The DQ scores of HIE neonates were negatively correlated with NT-proBNP, HMGB1, and ACTA (r=-0.671, -0.421, -0.518, all P< 0.001). The DQ scores was positively correlated with levels of 25-(OH) D and blood glucose level (r =0.621, 0.802, all P< 0.001). The DQ scores was also positively correlated with levels of potassium, sodium, calcium and magnesium (0.367, 0.782, 0.218, 0.678, all P<0.001). CONCLUSION: The NT-proBNP, HMGB1, ACTA, 25-(OH) D, blood glucose levels and electrolyte levels are correlated with the severity of HIE, and developmental quotient scores in neonates with HIE. These biomarkers are suggestive for assessing the prognosis of neonate with HIE.

A new mathematical mixed effect model was used for analysing the influencing factors of hypoglycaemia of newborns from women with gestational diabetes mellitus.

A mathematical mixed effect model was established to analyse the factors of neonatal hypoglycaemia of gestational diabetes mellitus (GDM). 229 cases of GDM patients were enrolled in this study. The data were analysed by logarithmic transformation of non-normal distribution. Furthermore, the mathematical model was used to analyse influencing factors of hypoglycaemia of neonatal from women with GDM. The results showed that the blood glucose distribution level had a trend of increasing with time, which indicates that it is necessary to strengthen blood glucose intervention of newborns from GDM maternal and provides a data for the timely detection of hypoglycaemia in GDM newborns. Furthermore, we successfully established the GDM newborn blood glucose level mixed mathematical model. From this model, we calculated the GDM newborn blood glucose normal confidence interval based on mixed factors. The results indicate that the minimum value of blood glucose level in GDM newborns did not exceed the risk level 2.2 mmol/L. We concluded that the mathematical mixed effect model is successfully established, from which the change discipline of blood glucose level of newborn from GDM parturient are found. Impact statementWhat is already known on this subject? The morbidity of gestational diabetes mellitus (GDM) in China has been increased. However, the clinical data is difficult to be collected and the data that is used for statistics is not enough, which makes it difficult to understand the neonatal hypoglycaemia of GDM more clearly.What do the results of this study add? In this study, we successfully established a mathematical mixed effect model of neonatal hypoglycaemia of women with GDM, which can investigate the influence factor of hypoglycaemia of newborn from women with GDM to find the discipline of blood glucose level of newborn from GDM parturient via mathematical model.What are the implications of these findings for clinical practice and/or further research? Our research helps to better understand and improve the health problem of pregnant women with GDM and their newborn babies.

A Prediction Algorithm for Hypoglycemia Based on Support Vector Machine Using Glucose Level and Electrocardiogram.

A prediction algorithm for hypoglycemic events is proposed using glucose levels and electrocardiogram (ECG) with support vector machine (SVM). We extracted the corrected QT interval and five heart rate variability parameters from the ECG, along with glucose level from a continuous glucose monitoring system (CGMS). This feature set is used as input to the SVM, and hypoglycemic events are predicted every 5 min using the trained SVM model for up to 30 min in advance. The proposed algorithm was developed and evaluated for nine Type-1 diabetes patients in the D1NAMO dataset. The prediction sensitivity, specificity, and accuracy values for the test set were 91.1%, 87.0%, and 89.0% (10 min before); 88.0%, 84.3%, and 86.2% (20 min before); 80.1%, 83.3%, and 81.7% (30 min before), respectively. These results show higher performance of the proposed method compared to previous studies and suggest the possibility of predicting hypoglycemia in advance.