Glucose Fluctuations Research Articles

Clinical application of real-time continuous glucose monitoring system during postoperative enteral nutrition therapy in esophageal cancer patients.

Enteral nutrition (EN) support therapy increases the risk of abnormal blood glucose (BG). The aim of this study is to evaluate the clinical value of a real-time continuous glucose monitoring (rt-CGM) system in BG monitoring during postoperative EN support therapy in patients with esophageal cancer. Patients without diabetes mellitus (DM) with esophageal cancer who planned to receive postoperative EN were enrolled. With the self-monitoring of BG value as the reference BG, the accuracy of rt-CGM was evaluated by the mean absolute relative difference (MARD) value, correlation efficient, agreement analysis, and Parkes and Clarke error grid plot. Finally, paired t tests were used to compare the differences in glucose fluctuations between EN and non-EN days and slow and fast days. The total MARD value of the rt-CGM system was 13.53%. There was a high correlation between interstitial glucose and fingertip capillary BG (consistency correlation efficient = 0.884 [95% confidence interval, 0.874-0.894]). Results of 15/15%, 20/20%, 30/30% agreement analysis were 58.51%, 84.71%, and 99.65%, respectively. The Parkes and Clarke error grid showed that the proportion of the A and B regions were 100% and 99.94%, respectively. The glucose fluctuations on EN days vs non-EN days and on fast days vs slow days were large, and the difference was statistically significant (P < 0.001). The rt-CGM system achieved clinical accuracy and can be used as a new option for glucose monitoring during postoperative EN therapy. The magnitude of glucose fluctuation during EN therapy remains large, even in the postoperative population without DM.

Impact of hypoglycemia after gastrectomy on Global Leader Initiative on Malnutrition-defined malnutrition: a retrospective study.

The Global Leader Initiative on Malnutrition (GLIM) criteria were developed in 2018 as a global indicator of malnutrition, and the term 'malnutrition-sarcopenia syndrome' was established. Recently, it has been reported that fluctuations in blood glucose are related to sarcopenia. In this study, we investigated the effects of glucose fluctuations on malnutrition after gastrectomy using a continuous glucose monitoring (CGM) device. We analyzed the data of 69 patients with gastric cancer (GC) who underwent curative gastrectomy between November 2017 and December 2020. CGM was performed over a 2-week period at 1month and 1year after surgery. The GLIM criteria included weight loss, the body mass index (BMI), and the psoas muscle mass index (PMI). One year after surgery, 25 and 35 patients had severe and moderate malnutrition, respectively. The time below range (TBR) (percent of time the glucose concentration was < 70mg/dL) and nocturnal (00:00-06:00) TBR were significantly higher in the severe malnutrition group than in the other groups (TBR: normal/moderate 17.9% vs. severe 21.6%, P = 0.039, nocturnal TBR; normal/moderate 30.6% vs. severe 41.1%, P = 0.034). Post-gastrectomy hypoglycemia, including long nocturnal hypoglycemia, was higher in severely malnourished patients than in other patients even 1year after surgery. Prevention of nocturnal hypoglycemia may be the key to improving malnutrition following gastrectomy.

Correlation between time in range and serum uric acid in Chinese patients with type-2 diabetes: an observational cross-sectional study

BackgroundAt present, the relationship between serum uric acid and blood glucose is controversial, and even opposite conclusions have been reached. We aimed to investigate the relationship between time in range and serum uric acid and estimate the influence of serum uric acid on blood glucose fluctuations in Chinese patients with type-2 diabetes mellitus (T2DM).MethodsA total of 458 hospitalized patients with T2DM were selected. According to the SUA level, patients were divided into four groups by quartile: Q1 (≤ 254.5 µmol/L), Q2 (254.5–306.0 µmol/L), Q3 (306.0–385.5 µmol/L) and Q4 (> 385.5 µmol/L). The differences in general data, TIR and other clinical indicators between the four groups were assessed. Multifactor regression was used to analyze the relationship between subgroups of SUA and TIR, TBR, TAR, MAGE, SD, ADRR, MODD and M value. Curve fitting was used to analyze the association between TIR and SUA and to identify the inflection point.ResultsTIR showed an overall increasing trend with increasing SUA, while HbA1c, TAR, MAGE, SD, ADRR, MODD and M value showed an overall decreasing trend with increasing SUA. Multivariate regression analysis showed that, compared with Q1, there was no correlation between SUA and TIR, TAR, ADRR, SD, or MODD in all models of Q2. In the Q3 and Q4 groups, SUA was correlated with SD, MODD, and MAGE in all models. In the Q4 group, SUA was correlated with TIR, TAR, ADRR, and the M value in all models. When SUA > 306 µmol/L (Q3 and Q4), TIR and SUA have a curve-like relationship, and the inflection point of the fitted curve was SUA = 460 mmol/L. Before the inflection point, β was 0.1, indicating that when SUA increases by 10 mmol/L, the corresponding TIR increases by 1%. After the inflection point, there was no significant difference in the correlation between TIR and SUA (P > 0.05).ConclusionsThere is a close relationship between TIR and SUA in T2DM patients, it is speculated that SUA in a certain range had a positive protective effect on blood glucose control.

Effect of 24 h glucose fluctuations on 30-day and 1-year mortality in patients with acute myocardial infarction: an analysis from the MIMIC-III database.

It is recognized that patients' blood glucose fluctuates over time during acute disease episodes, especially during the outbreak of cardiovascular events, regardless of the presence of an abnormal blood glucose profile prior to admission to the hospital. Glucose fluctuations in patients with acute myocardial infarction (AMI) in the intensive care unit (ICU) are currently not adequately monitored and studied. We focused on blood glucose fluctuation values within 24 h of admission to assess their association with 30-day and 1-year mortality. Data of patients with AMI aged 18 years or older from the Critical Care Medical Information Marketplace database III V1.4 were available for analysis in this research. Glucose data were obtained by measurement. A total of 390 of them were treated with PCI. The principal consequence was 30-day and 1-year mortality in patients with AMI. The effect of different glucose fluctuations within 24 h of admission on mortality was predicted by constructing a multivariate Cox regression model with four model adjustments and Kaplan-Meier survival curves. Additionally, we performed curve-fitting analyses to show the correlation between blood glucose fluctuations and risk of death. We selected 1,699 AMI patients into our study through screening. The included population was categorized into three groups based on the tertiles of blood glucose fluctuation values within 24 h of admission to the ICU. The three groups were <25 mg/dl, 25-88 mg/dl and >88 mg/dl. By cox regression analysis, the group with the highest blood glucose fluctuation values (>88 mg/dl) had the most significant increase in 30-day and 1-year mortality after excluding confounding factors (30-day mortality adjusted HR = 2.11; 95% CI = 1.49-2.98 p < 0.001; 1-year mortality adjusted HR = 1.83; 95% CI = 1.40-2.39 p < 0.001). As demonstrated by the Kaplan-Meier survival curves, the group with the greatest fluctuations in blood glucose has the worst 30-day and 1-year prognosis. The extent of glucose fluctuations in patients with AMI in the first 24 h after ICU admission is an essential predictor as to 30-day as well as 1-year mortality. When blood glucose fluctuates more than 88 mg/dl within 24 h, mortality increases significantly with the range of blood glucose fluctuations.

Cytosolic pH is a direct nexus in linking environmental cues with insulin processing and secretion in pancreatic β cells

Pancreatic β cells actively respond to glucose fluctuations through regulating insulin processing and secretion. However, how this process is elaborately tuned in circumstance of variable microenvironments as well as β cell-intrinsic states and whether its dysfunction links to metabolic diseases remain largely elusive. Here, we show that the cytosolic pH (pHc) in β cells is increased upon glucose challenge, which can be sensed by Smad5 via its nucleocytoplasmic shuttling. Lesion of Smad5 in β cells results in hyperglycemia and glucose intolerance due to insulin processing and secretion deficiency. The role of Smad5 in regulating insulin processing and secretion attributes to its non-canonical function by regulating V-ATPase activity for granule acidification. Genetic mutation of Smad5 or administration of alkaline water to mirror cytosolic alkalization ameliorated glucose intolerance in high-fat diet (HFD)-treated mice. Collectively, our findings suggest that pHc is a direct nexus in linking environmental cues with insulin processing and secretion in β cells.

Dynamic associations between glucose and ecological momentary cognition in Type 1 Diabetes

Type 1 diabetes (T1D) is a chronic condition characterized by glucose fluctuations. Laboratory studies suggest that cognition is reduced when glucose is very low (hypoglycemia) and very high (hyperglycemia). Until recently, technological limitations prevented researchers from understanding how naturally-occurring glucose fluctuations impact cognitive fluctuations. This study leveraged advances in continuous glucose monitoring (CGM) and cognitive ecological momentary assessment (EMA) to characterize dynamic, within-person associations between glucose and cognition in naturalistic environments. Using CGM and EMA, we obtained intensive longitudinal measurements of glucose and cognition (processing speed, sustained attention) in 200 adults with T1D. First, we used hierarchical Bayesian modeling to estimate dynamic, within-person associations between glucose and cognition. Consistent with laboratory studies, we hypothesized that cognitive performance would be reduced at low and high glucose, reflecting cognitive vulnerability to glucose fluctuations. Second, we used data-driven lasso regression to identify clinical characteristics that predicted individual differences in cognitive vulnerability to glucose fluctuations. Large glucose fluctuations were associated with slower and less accurate processing speed, although slight glucose elevations (relative to person-level means) were associated with faster processing speed. Glucose fluctuations were not related to sustained attention. Seven clinical characteristics predicted individual differences in cognitive vulnerability to glucose fluctuations: age, time in hypoglycemia, lifetime severe hypoglycemic events, microvascular complications, glucose variability, fatigue, and neck circumference. Results establish the impact of glucose on processing speed in naturalistic environments, suggest that minimizing glucose fluctuations is important for optimizing processing speed, and identify several clinical characteristics that may exacerbate cognitive vulnerability to glucose fluctuations.

Technological Advances of Wearable Device for Continuous Monitoring of In Vivo Glucose.

Managing diabetes is a chronic challenge today, requiring monitoring and timely insulin injections to maintain stable blood glucose levels. Traditional clinical testing relies on fingertip or venous blood collection, which has facilitated the emergence of continuous glucose monitoring (CGM) technology to address data limitations. Continuous glucose monitoring technology is recognized for tracking long-term blood glucose fluctuations, and its development, particularly in wearable devices, has given rise to compact and portable continuous glucose monitoring devices, which facilitates the measurement of blood glucose and adjustment of medication. This review introduces the development of wearable CGM-based technologies, including noninvasive methods using body fluids and invasive methods using implantable electrodes. The advantages and disadvantages of these approaches are discussed as well as the use of microneedle arrays in minimally invasive CGM. Microneedle arrays allow for painless transdermal puncture and are expected to facilitate the development of wearable CGM devices. Finally, we discuss the challenges and opportunities and look forward to the biomedical applications and future directions of wearable CGM-based technologies in biological research.

Abstract 1981 FicD Sensitizes Cellular Response to Glucose Fluctuations in Mouse Embryonic Fibroblasts

Abstract 1981 FicD Sensitizes Cellular Response to Glucose Fluctuations in Mouse Embryonic Fibroblasts

The safety of preoperative carbohydrate drinks in extremely elderly patients assessed by gastric ultrasonography: a randomized controlled trial

BackgroundModern perioperative guidelines encourage drinking oral carbohydrates 2 h before management. Nevertheless, research on the safety of preoperative carbohydrate drinks, particularly in extremely elderly patients is lacking. We aimed to evaluate the safety of carbohydrate drinks 2 h before surgery in extremely elderly patients (≥ 80 years) using gastric ultrasonography.MethodsWe conducted a randomized prospective comparative study of 70 patients aged over 80 years who were scheduled for total knee arthroplasty, hip fracture or humerus fracture surgery. These patients were randomly assigned to the carbohydrate group (n = 35), which fasted from midnight, except for drinking 355 mL of a carbohydrate-containing fluid 2 h before surgery, or the fasting group (n = 35), which fasted from midnight and drank no fluid before surgery. The primary outcome of the study was the cross-sectional area (CSA) of the gastric antrum in the right lateral decubitus position (RLDP) before surgery. The secondary outcomes included CSA in the supine position, intraoperative blood glucose levels and their variability coefficients, Perlas grade, and the visual analog scale of subjective feelings.ResultsThe CSA in the RLDP and supine positions revealed no differences between the carbohydrate and fasting groups at 0 h preoperatively (P > 0.05). In the qualitative assessment, preoperative 0-h Perlas grading did not differ significantly between the groups (P > 0.05). From 2 h before surgery to transfer out of the post-anesthesia care unit, the average blood glucose level of patients in the carbohydrate group was significantly higher than that in the fasting group (P < 0.001) but remained within the normal range. Moreover, the blood glucose variability coefficient was significantly lower in the carbohydrate group than in the fasting group (P = 0.009). Oral intake of 355 mL carbohydrates before surgery significantly relieved patients’ feelings (P < 0.001).ConclusionPreoperative consumption of carbohydrate drinks 2 h before surgery is safe in “healthy” extremely elderly patients. In addition, preoperative drinking has potential value in maintaining ideal blood glucose levels and stable blood glucose fluctuations perioperatively and improving subjective perceptions of preoperative preparation. This finding warrants further investigation in clinical practice.Trial registrationChinese Clinical Trial Registry (Registration Number ChiCTR1900024812), first registered on 29/07/2019.

Are insulin sensitizers the new strategy to treat Type 1 diabetes? A long-acting dual amylin and calcitonin receptor agonist improves insulin-mediated glycaemic control and controls body weight.

Insulin therapies for Type 1 diabetes (T1D) have limitations, such as glucose fluctuations, hypoglycaemia, and weight gain. Only pramlintide is approved with insulin. However, its short half-life limits efficacy, requiring multiple daily injections and increasing hypoglycaemia risk. New strategies are needed to improve glycaemic control. Dual amylin and calcitonin receptor agonists are potent insulin sensitizers developed for Type 2 diabetes (T2D) as they improve glucose control, reduce body weight, and attenuate hyperglucagonemia. However, it is uncertain if they could be used to treat T1D. Sprague Dawley rats received a single intravenous injection of streptozotocin (STZ) (50 mg·kg-1) to induce T1D. Humulin (1 U/200 g·day-1 or 2 U/200 g·day-1) was continuously infused, while half of the rats received additional KBP-336 (4.5nmol·kg-1 Q3D) treatment. Bodyweight, food intake, and blood glucose were monitored throughout the study. An oral glucose tolerance test was performed during the study. Treatment with Humulin or Humulin + KBP-336 improved the health of STZ rats. Humulin increased body weight in STZ rats, but KBP-336 attenuated these increases and maintained a significant weight loss. The combination exhibited greater blood glucose reductions than Humulin-treated rats alone, reflected by improved HbA1c levels and glucose control. The combination prevented hyperglucagonemia, reduced amylin levels, and increased pancreatic insulin content, indicating improved insulin sensitivity and beta-cell preservation. The insulin sensitizer KBP-336 lowered glucagon secretion while attenuating insulin-induced weight gain. Additionally, KBP-336 may prevent hypoglycaemia and improve insulin resistance, which could be a significant advantage for individuals with T1D seeking therapeutic benefits.

Light stimulation of mitochondria reduces blood glucose levels.

Mitochondria regulate metabolism, but solar light influences its rate. Photobiomodulation (PBM) with red light (670 nm) increases mitochondrial membrane potentials and adenosine triphosphate production and may increase glucose demand. Here we show, with a glucose tolerance test, that PBM of normal subjects significantly reduces blood sugar levels. A 15 min exposure to 670 nm light reduced the degree of blood glucose elevation following glucose intake by 27.7%, integrated over 2 h after the glucose challenge. Maximum glucose spiking was reduced by 7.5%. Consequently, PBM with 670 nm light can be used to reduce blood glucose spikes following meals. This intervention may reduce damaging fluctuations of blood glucose on the body.

Perioperative Insulin Pump Therapy Decreases Readmission Risk and Improves Outcomes in Patients with Diabetes.

To evaluate the impact of temporary insulin pump use during hospitalization on glycemia, postoperative complications, and cost/utilization in perioperative patients with diabetes. Patients (n=159) with type 2 diabetes and hospitalized for elective surgery were recruited from three hospitals. Subjects were categorized into the insulin pump group and the multiple daily subcutaneous insulin injection group according to their treatment therapy. Data were collected at admission, discharge, and 3 months post-discharge. Subjects in the CSII group who were still on insulin therapy transitioned from CSII to MDII; however, their daily insulin dosages were lower than those in the MDII group (15.31±10.98 U/d vs. 23.48±17.02 U/d, P=0.015) after discharge. In terms of medical costs, the CSII group had significantly higher hospitalization costs than the MDII group (112.36±103.43 thousand RMB vs. 82.65±77.98 thousand RMB, P=0.043). After 3 months, the CSII group had significantly lower outpatient costs than the MDII group (3.17±0.94 thousand RMB vs. 3.98±1.76 thousand RMB, P ˂ 0.001). In the MDII group, 10 patients reported severe postoperative complications requiring re-hospitalization; there were no similar reports in the CSII group. Temporary use of insulin pump therapy for perioperative patients with diabetes results in a reduction in blood glucose and blood glucose fluctuation during hospitalization, HbA1c, and the risk of postoperative complication and readmission, thus significantly decreasing costs in this complex patient cohort. Further work is needed to better understand indications for utilizing pump therapy based on diabetes phenotype and the complexity of planned surgical intervention.

Simultaneous assessment of stress hyperglycemia ratio and glycemic variability to predict mortality in patients with coronary artery disease: a retrospective cohort study from the MIMIC-IV database

BackgroundStress hyperglycemia and glycemic variability (GV) can reflect dramatic increases and acute fluctuations in blood glucose, which are associated with adverse cardiovascular events. This study aimed to explore whether the combined assessment of the stress hyperglycemia ratio (SHR) and GV provides additional information for prognostic prediction in patients with coronary artery disease (CAD) hospitalized in the intensive care unit (ICU).MethodsPatients diagnosed with CAD from the Medical Information Mart for Intensive Care-IV database (version 2.2) between 2008 and 2019 were retrospectively included in the analysis. The primary endpoint was 1-year mortality, and the secondary endpoint was in-hospital mortality. Levels of SHR and GV were stratified into tertiles, with the highest tertile classified as high and the lower two tertiles classified as low. The associations of SHR, GV, and their combination with mortality were determined by logistic and Cox regression analyses.ResultsA total of 2789 patients were included, with a mean age of 69.6 years, and 30.1% were female. Overall, 138 (4.9%) patients died in the hospital, and 404 (14.5%) patients died at 1 year. The combination of SHR and GV was superior to SHR (in-hospital mortality: 0.710 vs. 0.689, p = 0.012; 1-year mortality: 0.644 vs. 0.615, p = 0.007) and GV (in-hospital mortality: 0.710 vs. 0.632, p = 0.004; 1-year mortality: 0.644 vs. 0.603, p < 0.001) alone for predicting mortality in the receiver operating characteristic analysis. In addition, nondiabetic patients with high SHR levels and high GV were associated with the greatest risk of both in-hospital mortality (odds ratio [OR] = 10.831, 95% confidence interval [CI] 4.494–26.105) and 1-year mortality (hazard ratio [HR] = 5.830, 95% CI 3.175–10.702). However, in the diabetic population, the highest risk of in-hospital mortality (OR = 4.221, 95% CI 1.542–11.558) and 1-year mortality (HR = 2.013, 95% CI 1.224–3.311) was observed in patients with high SHR levels but low GV.ConclusionsThe simultaneous evaluation of SHR and GV provides more information for risk stratification and prognostic prediction than SHR and GV alone, contributing to developing individualized strategies for glucose management in patients with CAD admitted to the ICU.

Revised one-bag IV fluid protocol for pediatric DKA: a feasible approach and retrospective comparative study.

This study compared the effectiveness of the traditional and revised one-bag protocols for pediatric diabetic ketoacidosis (DKA) management. This single-center retrospective cohort study included children diagnosed with DKA upon admission between 2012 and 2019. Our institution reevaluated and streamlined the traditional one-bag protocol (revised one-bag protocol). The revised one-bag protocol rehydrated all pediatric DKA patients with dextrose (5 g/100 ml) containing 0.45% NaCl at a rate of 3500 ml/m2 per 24 h after the first 1 h bolus of normal saline, regardless of age or degree of dehydration. This study examined acidosis recovery times and the frequency of healthcare provider interventions to maintain stable blood glucose levels. The revised one-bag protocol demonstrated a significantly shorter time to acidosis recovery than the traditional protocol (12.67 and 18.20 h, respectively; p < 0.001). The revised protocol group required fewer interventions for blood glucose control, with an average of 0.25 dextrose concentration change orders per patient, compared to 1.42 in the traditional protocol group (p < 0.001). Insulin rate adjustments were fewer in the revised protocol group, averaging 0.52 changes per patient, vs. 2.32 changes in the traditional protocol group (p < 0.001). The revised one-bag protocol for pediatric DKA is both practical and effective. This modified DKA management achieved acidosis recovery more quickly and reduced blood glucose fluctuations compared with the traditional one-bag protocol. Future studies, including randomized controlled trials, should assess the safety and effectiveness of the revised protocol in a broad range of pediatric patients with DKA.

A probabilistic computation framework to estimate the dawn phenomenon in type 2 diabetes using continuous glucose monitoring.

In type 2 diabetes (T2D), the dawn phenomenon is an overnight glucose rise recognized to contribute to overall glycemia and is a potential target for therapeutic intervention. Existing CGM-based approaches do not account for sensor error, which can mask the true extent of the dawn phenomenon. To address this challenge, we developed a probabilistic framework that incorporates sensor error to assign a probability to the occurrence of dawn phenomenon. In contrast, the current approaches label glucose fluctuations as dawn phenomena as a binary yes/no. We compared the proposed probabilistic model with a standard binary model on CGM data from 173 participants (71% female, 87% Hispanic/Latino, 54 ± 12years, with either a diagnosis of T2D for six months or with an elevated risk of T2D) stratified by HbA1c levels into normal but at risk for T2D, with pre-T2D, or with non-insulin-treated T2D. The probabilistic model revealed a higher dawn phenomenon frequency in T2D [49% (95% CI 37-63%)] compared to pre-T2D [36% (95% CI 31-48%), p = 0.01] and at-risk participants [34% (95% CI 27-39%), p < 0.0001]. While these trends were also found using the binary approach, the probabilistic model identified significantly greater dawn phenomenon frequency than the traditional binary model across all three HbA1c sub-groups (p < 0.0001), indicating its potential to detect the dawn phenomenon earlier across diabetes risk categories.

Prolonged Remission Induced by FENofibrate in children with newly diagnosed type 1 diabetes (PRIFEN): protocol of a randomised controlled trial

IntroductionSphingolipids regulate proinsulin folding, insulin secretion and control beta cells apoptosis. Recent evidence has demonstrated that, among other factors, reduced amounts of sulfatide may be relevant in the development of...

Association between perioperative glucose profiles assessed by the continuous glucose monitoring (CGM) system and prognosis in patients with ST-segment elevation myocardial infarction (STEMI): protocol for a cohort study

IntroductionST-segment elevation myocardial infarction (STEMI) presents a serious cardiovascular condition requiring prompt intervention. Dysglycaemia has been identified as a significant risk factor impacting STEMI prognosis. However, limited research has focused...

Abstract WP3: Serum Glucose Fluctuations is an Independent Predictor of Adverse Outcomes in Patients With Acute Ischemic Stroke Undergoing Endovascular Treatment

Background: Acute hyperglycemia may increase the rate of death or disability among acute ischemic stroke patients undergoing endovascular procedures. Objective: To explore the association between serum glucose fluctuation on post treatment symptomatic intracranial hemorrhage (sICH) and mortality. Methods: We analyzed consecutive acute ischemic stroke patients who underwent endovascular treatment over 30 months at a comprehensive stroke center. Serum glucose levels within the initial 24 hours were used to calculate the mean and standard deviation (SD). Patients were grouped by the standard deviation [SD] of the mean value of serum glucose, whether above or below 25%. Outcomes included sICH, and inpatient mortality, adjusted for confounders which included age, gender, baseline NIHSS, perfusion grade (TICI) intravenous thrombolysis, history of diabetes and HBA1c. Results: A total of 224 patients (mean age was 68.7 years (±14.3); 44.2% were women) underwent endovascular treatment. The proportion of sICH (16.7% vs. 3.28%; p=0.0006) and inpatient mortality (18.6% vs. 7.4%; p=0.0112) were higher in patients with SD exceeding 25. After adjusting for potential confounders, serum glucose SD above 25 was significantly associated with increased rate of sICH (odds ratio [OR] 5.2; 95% confidence interval [CI] 1.5-18.5; p=0.0112) and inpatient mortality (OR 3.5; 95% CI 1.3-9.8; p=0.0154). Conclusion: Serum glucose fluctuations within first 24 hours maybe be therapeutic target due to its association with increased risks of sICH and inpatient mortality following endovascular treatment in acute ischemic stroke.

Glucose Fluctuation Inhibits Nrf2 Signaling Pathway in Hippocampal Tissues and Exacerbates Cognitive Impairment in Streptozotocin-Induced Diabetic Rats.

This research investigated whether glucose fluctuation (GF) can exacerbate cognitive impairment in streptozotocin-induced diabetic rats and explored the related mechanism. After 4 weeks of feeding with diets containing high fats plus sugar, the rat model of diabetes mellitus (DM) was established by intraperitoneal injection of streptozotocin (STZ). Then, GF was triggered by means of alternating satiety and starvation for 24 h. The weight, blood glucose level, and water intake of the rats were recorded. The Morris water maze (MWM) test was carried out to appraise the cognitive function at the end of week 12. Moreover, the morphological structure of hippocampal neurons was viewed through HE and Nissl staining, and transmission electron microscopy (TEM) was performed for ultrastructure observation. The protein expression levels of Nrf2, HO-1, NQO-1, Bax, Bcl-2, and Caspase-3 in the hippocampal tissues of rats were measured via Western blotting, and the mRNA expressions of Nrf2, HO-1, and NQO-1 were examined using qRT-PCR. Finally, Western blotting and immunohistochemistry were conducted to detect BDNF levels. It was manifested that GF not only aggravated the impairment of spatial memory in rats with STZ-induced type 2 DM but also stimulated the loss, shrinkage, and apoptosis of hippocampal neurons. Regarding the expressions in murine hippocampal tissues, GF depressed Nrf2, HO-1, NQO-1, Bcl-2, and BDNF but boosted Caspase-3 and Bax. GF aggravates cognitive impairment by inhibiting the Nrf2 signaling pathway and inducing oxidative stress and apoptosis in the hippocampal tissues.

A meta-analysis of the relationship between glycaemic variability and the mortality of patients with heart failure.

Recent findings indicate that fluctuations in blood glucose could potentially increase the risk of unfavourable outcomes in individuals with cardiovascular conditions. The objective of the research was to assess the correlation between glycaemic variability (GV) and the mortality of patients with heart failure (HF) through a comprehensive review and meta-analysis. Longitudinal follow-up studies comparing the mortality risk between HF patients with higher and lower GV were identified by searching Medline, Embase, Web of Science, and Cochrane Library databases. The results were combined using a random-effects model that accounted for the potential variability. The meta-analysis included nine cohort studies involving 76843 patients diagnosed with HF, out of which 35853 patients died within a follow-up period of up to 86months. The combined findings indicated that a significant increase in GV was linked to an elevated risk of mortality in patients with HF during the follow-up period (RR 2.18, 95% CI 1.61 to 2.96, P<0.001, I2=83%). The relationship between GV and mortality in HF patients was not significantly influenced by the patients' diabetic status (diabetic or non-diabetic), type of GV (acute or long-term GV), study design (prospective or retrospective), country of the study (Asian or non-Asian), follow-up durations, or the scores of study quality (P-values for subgroup differences all >0.05). A high GV could be a risk factor of mortality of patients with HF.