High Blood Glucose Levels Research Articles

Effects of sitagliptin and L-theanine combination therapy on testicular tissue in rats with experimental diabetes

This study examines the impact of the combination of sitagliptin and L-theanine on the testis tissue of rats with experimental diabetes. Diabetes mellitus, a chronic metabolic illness, significantly reduces quality of life and can cause male infertility by decreasing sperm count, motility, and testosterone levels. Rats were allocated to five separate groups: control, diabetes, L-theanine, sitagliptin, and combination therapy. The measurements encompassed blood glucose levels, body weight, serum insulin levels, and the Homeostasis Model Assessment of Insulin Resistance (HOMA-IR). The histological examination of testicular tissue was conducted using H&E, PASH, caspase-12, and PCNA staining techniques, in addition to a TUNEL assay to detect apoptosis. Levels of oxidative stress indicators, including glutathione peroxidase (GPX), malondialdehyde (MDA), and catalase, were also evaluated. The results showed that the group of individuals with diabetes had significantly higher levels of blood glucose, apoptotic indices, GPX, catalase, and MDA levels and activities in comparison with the control group. Although both the L-theanine and sitagliptin groups exhibited some improvement, the combination therapy demonstrated the most significant decrease in histopathological damage and apoptotic markers. These results indicate that the combination of sitagliptin and L-theanine may significantly decrease testicular damage caused by diabetes, making it a promising therapeutic strategy.

Impaired glomerular filtration rate and associated factors among diabetic mellitus patients with hypertension in referral hospitals, Amhara Regional State, Ethiopia

Impaired glomerular filtration rate is common health problem in diabetic mellitus patients (DM) with hypertension (HTN). It is a major cause of morbidity, mortality, and poor quality of life. There is limited data on the prevalence and associated factors of impaired glomerular filtration among diabetic mellitus patients with hypertension in Ethiopia. Therefore, this study aimed to determine the prevalence of impaired glomerular filtration rate and associated factors among diabetic patients with hypertension in referral hospitals in Amhara Regional State, Ethiopia, 2020. An institution-based cross-sectional study was conducted in Amhara Regional referral hospitals from February 20 to April 30, 2020. Systemic sampling techniques were used to select diabetic mellitus patients with hypertension. Epi data version 3.0 was used to enter the coded data and then exported to STATA 14 for analysis. Glomerular filtration rate was estimated using the equations of collaboration with chronic kidney disease (CKD-EPI), diet modification in renal disease (MDRD-4), and creatinine clearance (CrCl). In bi-variable logistic regression, variables with a p-value of < 0.25 were included in multi-variable logistic regression. Using a 95% confidence interval, variables having a p-value ≤ 0.05 in multi-variable logistic regression were declared as statistically significant variables. In this study, a total of 326 study participants were involved, with a 100% response rate. The prevalence of an impaired glomerular filtration rate among diabetic patients with hypertension was 30.1% (95% CI 25.1%-35.1%), 36.6% (95% CI 30.1%-40.8%) and 45.4% (95% CI 39.9%-50.8%), using the equations CKD-EPI, MDRD-4, and CrCl, respectively. Being ≥ 55 years old (CKD-EPI AOR = 2.9, 95%: 1.5–5.5, MDRD-4 AOR = 2.1, 95% CI: 1.2–3.7, CrCl AOR = 5.9, 95% CI: 3.5–10.1), proteinuria (CKD-EPI AOR = 2.7, 95% CI: 1.4–5.3, MDRD-4 AOR = 1.9, 95% CI: 1.1–3.4, CrCl AOR = 1.7, 95% CI: 1.0-2.9), duration of the disease (≥ 5 years) (CKD-EPI AOR = 7.9, 95% CI: 4.2–13.0, MDRD-4 AOR = 7.4, 95% CI: 4.2–13.0, CrCl AOR = 1.9, 95% CI: 1.2–3.3), a glucose level of ≥ 150 mg/dl (CKD-EPI AOR = 2.3, 95% CI: 1.3–4.4, MDRD-4 AOR = 2.1, 95% CI: 1.2–3.8) were variables significantly associated with impaired glomerular filtration rate. The prevalence of impaired glomerular filtration rate among diabetic mellitus patients with hypertension was high. Independent predictors of impaired glomerular filtration rate were older age, duration of the disease, proteinuria, and higher blood glucose levels.

Sex differences in the prevalence of metabolic syndrome and associated factors in the general population of Mongolia: A nationwide study.

The prevalence and factors associated with metabolic syndrome (MetS) between men and women in Mongolia were compared using secondary data from the STEPwise approach to non-communicable disease risk factor surveillance conducted in 2019. In total, 5,695 participants (2,577 males and 3,118 females) aged 18-69 years old were enrolled in the study. The prevalence of MetS was 37.4% in total and the prevalence was significantly higher in women (39.2%) than men (35.2%, P = 0.002). The most prevalent MetS components were abdominal obesity in women (74.2%) and high blood glucose levels in men (58.7%). All of the 2,128 participants who were categorized into MetS met the criteria of abdominal obesity. Factors associated with MetS included being 30-69 years old compared to 18-29 years old, low and moderate physical activity levels compared to high levels, history of hypertension and diabetes mellitus, and a high body mass index (overweight and obesity) compared to a normal body mass index in both sexes. Additional factors included Buryat ethnicity compared to Khalkh ethnicity, living in Ulaanbaatar, no education compared to primary education, higher monthly income, and currently drinking in men; and smoking and sufficient fruit and vegetable intake in women. Significant differences were observed between men and women in terms of the prevalence of MetS, components of MetS, and factors associated with MetS. To reduce MetS prevalence in Mongolia, sex-specific programs should be designed to promote health behavior, such as reducing alcohol consumption in men and smoking in women.

The Association Between Obesity, Chronic Inflammation, Metabolic Disorders and Mood Disorders Among Patients up to 12 Months After Hospitalization for SARS-CoV-2

Background/Objectives: The relationship between BMI, inflammation, and mental health is complex. A high BMI, especially obesity, is associated with chronic inflammation, which can lead to mental disorders such as depression. Inflammatory cytokines affect neurotransmitters and the stress axis, worsening mental health. Obesity and mental disorders can mutually reinforce each other. New findings show that inflammation can lead to neurobiological changes, and the gut microbiota may play a key role. Obesity has been implicated as a factor in the high mortality and duration of influenza-like illnesses, even in people who do not have other chronic diseases that may increase the risk of complications. The aim of this study was to determine the associations between BMI and chronic inflammation, metabolic disorders, depression, and anxiety in patients hospitalized with COVID-19 up to 12 months after hospitalization. Methods: The study included 248 participants previously hospitalized for SARS-CoV-2 infection up to 12 months after hospitalization. The study was conducted in a multistage design using a diagnostic survey, anthropometric measurements, and laboratory methods. Results: A statistically significantly higher BDI-II score was observed among women. Statistical analysis showed a statistically significant higher GAD-7 score among women and those over 75 years of age. Conclusions: Higher BMI among subjects is often associated with elevated values of inflammatory markers and immune cells, such as WBC, neutrophils, monocytes, and CRP, as well as higher blood glucose levels. These associations may be related to the chronic inflammation and metabolic disorders that often accompany obesity. Lymphocytes and eosinophils may show more varied relationships depending on individual factors and specific health conditions. It is therefore important to continue research in this area.

Association between blood glucose level trajectories and 30-day mortality risk in patients with acute ischemic stroke: analysis of the MIMIC database 2001–2019

BackgroundHyperglycemia is one of the most common comorbidities in patients with acute ischemic stroke (AIS). This study aimed to assess the impact of short-term longitudinal blood glucose level change trajectories on the 30-day mortality risk in patients with AIS.MethodsData for AIS patients were obtained from the 2001–2019 Medical Information Mart for Intensive Care (MIMIC) database. The latent growth mixture modeling (LGMM) was utilized to classify a patient’s blood glucose level trajectory within 24 h of admission. Cox regression analyses were applied to examine the relationship between blood glucose levels at admission and blood glucose level trajectories and the risk of 30-day mortality in patients with AIS.ResultsA total of 2,432 patients with AIS were included in this retrospective cohort study, with 30-day mortality occurring in 574 (23.60%) patients. The median glucose levels of all patients were 136.00 (110.00, 178.00) mg/dL. Four blood glucose level trajectories were identified: low level-stable trend (type 1), moderate level-stable trend (type 2), high level-decreasing-increasing trend (type 3), and moderate level-increasing-decreasing trend (type 4). Type 2 blood glucose level trajectory was associated with an increased risk of 30-day mortality compared with type 1 blood glucose level trajectory [hazard ratio (HR) = 1.28, 95% confidence interval (CI): 1.03–1.59), but there were no significant associations between type 3 (HR = 1.16, 95%CI: 0.77–1.74) and type 4 (HR = 1.44, 95%CI: 0.84–2.45) trajectories and 30-day mortality risk. Subgroup analysis demonstrated that the association between type 2 trajectory and 30-day mortality risk was observed in patients aged ≥ 65 years (HR = 1.37, 95%CI: 1.05–1.79), female (HR = 1.42, 95%CI: 1.05–1.94), with (HR = 1.44, 95%CI: 1.02–2.02) or without (HR = 1.42, 95%CI: 1.01–1.99) diabetes, and not using insulin (HR = 2.80, 95%CI: 1.43–5.49).ConclusionAIS patients with consistently high blood glucose levels within 24 h of admission increased the risk of 30-day mortality.

Evaluation of the Renal Protective Effects of Cyperus at Varying Concentrations in a Rat Model of Kidney Disorders

Cyperus plants are frequently utilized around the globe to cure a range of human ailments, including as stomach and intestinal issues, as well as for their diuretic, digestant, and lactodepurant properties. Cyperus is a very promising genus in the Cyperaceae family that is used for health supplementation. So current study aims to improving kidney health using different concentrations of (Cyperus) plant in kidney disorders rats. The experiment was conducted at an animal house. all rats were provided with a standard diet for a duration of one week. Subsequently, the rats were segregated into five groups, each consisting of 6 rats. The first group, serving as the control negative (n=6) and labeled as C-ve, were exclusively fed the basal diet for a duration of 28 days. Thirty rats were administered gentamicin to induce renal problems. The experimental groups were administered different concentrations of Cyperus (5%, 7%, and 15%). The findings indicated that group 5, consisting of rats with renal disorders that were fed with 15% Cyperus powder, had the highest blood glucose levels. Conversely, there were no significant variations seen in HDL levels among group 3 &amp; group 4. While results found that Cyperus significantly reduced in urea and uric acid in kidney disorders rats. The results suggested to use Cyperus powder for kidney disorders rats.

Smart photonic crystal hydrogels for visual glucose monitoring in diabetic wound healing

Diabetes is a global chronic disease that seriously endangers human health and characterized by abnormally high blood glucose levels in the body. Diabetic wounds are common complications which associate with impaired healing process. Biomarkers monitoring of diabetic wounds is of great importance in the diabetes management. However, actual monitoring of biomarkers still largely relies on the complex process and additional sophisticated analytical instruments. In this work, we prepared hydrogels composed of different modules, which were designed to monitor different physiological indicators in diabetic wounds, including glucose levels, pH, and temperature. Glucose monitoring was achieved based on the combination of photonic crystal (PC) structure and glucose-responsive hydrogels. The obtained photonic crystal hydrogels (PCHs) allowed visual monitoring of glucose levels in physiological ranges by readout of intuitive structural color changes of PCHs during glucose-induced swelling and shrinkage. Interestingly, the glucose response of double network PCHs was completed in 15 min, which was twice as fast as single network PCHs, due to the higher volume fraction of glucose-responsive motifs. Moreover, pH sensing was achieved by incorporation of acid-base indicator dyes into hydrogels; and temperature monitoring was obtained by integration of thermochromic powders in hydrogels. These hydrogel modules effectively monitored the physiological levels and dynamic changes of three physiological biomarkers, both in vitro and in vivo during diabetic wound healing process. The multifunctional hydrogels with visual monitoring of biomarkers have great potential in wound-related monitoring and treatment.Graphical abstract

Growth, biochemical indexes, and intestinal microbiota response of red tilapia (Oreochromis spp.) under different densities and feeding frequencies in the land-based aquaculture tank

Red tilapia (Oreochromis spp.) has been favored by farmers in recent years because of its superior growth performance and competitive market price, but there is a lack of experimental data related to growth and health of red tilapia in land-based aquaculture tanks. In this study, red tilapia (initial weight 27.62 ± 2.43 g) was cultured with three stocking densities (30, 40, or 50 fish/m3, named 30F,40F and 50F) in the culture mode for 60 days, including two feeding frequencies (2 or 3 times/day, named 2 T and 3 T), and various growth and metabolic parameters were assessed along with the intestinal microbiome analysis. The 30 fish/m3 groups achieved the better weigh gain rate and specific growth rate (p < 0.05). The growth rate and condition factor of 40F groups were close to those of 30F groups, the yield of 40F groups were not significantly different from that of 50F groups (p > 0.05), and it had the highest survival rate (p < 0.05). The 3 T groups has a higher growth rate and yield but also has a higher rate of feed conversion (p < 0.05). The 30F groups had higher lipase levels, but a higher fat content in this group, more lipids were observed in the liver, and resulted in higher blood glucose levels (p < 0.05). The 40F groups showed healthier physiological and biochemical indicators, as its total cholesterol, lysozyme and antioxidant enzymes levels were similar to those of the 30F groups (p > 0.05), alkaline phosphatase, amylase and trypsin levels were higher than those of the other groups, and aspartate transaminase levels were the lowest (p < 0.05). The 50F groups had higher cortisol, alanine transaminase and malondialdehyde levels, lower lysozyme and digestive enzyme activities, and blood cell infiltration in the liver (p < 0.05). In terms of different feeding frequencies, the 3 T groups had higher crude protein content, catalase and total superoxide dismutase levels, wider villus width and lower blood glucose level, while the 2 T groups had higher triglyceride, total cholesterol, lysozyme, alkaline phosphatase and some digestive enzymes activities (p < 0.05). From the perspective of intestinal microbiota. The 40F groups had a better intestinal flora, and 40F-3T groups observed a better balance of flora, while 40F-2T groups had more digestion-related flora. Considering the growth rate, health status, and yield, the optimum culture condition was determined to be stocking density of 40 fish/m3, and feedings 3 times/day were recommended. The experiment provided theoretical basis and experimental data for red tilapia culture in land-based aquaculture tank mode.

Combination of anlotinib and sintilimab for the treatment of recurrent or metastatic head and neck squamous cell carcinoma: a single-arm prospective study

To investigate whether blocking both programmed cell death protein and vascular endothelial growth factor receptor could offer superior anticancer activity in these patients without compromising safety. In this study, patients were administered oral anlotinib (12 mg/day) on days 1–14 and intravenous sintilimab (200 mg) on day 1 of a 3-weekly cycle. The primary endpoints included the objective response rate and disease control rate. The secondary endpoints included overall survival (OS) and safety. Ten eligible patients were enrolled between June 2019 and May 2022, and eight patients underwent radiographic assessments. The results showed an objective response rate of 50% (partial and complete response in four and zero patients, respectively) and a disease control rate of 100%; four patients demonstrated stable disease for at least 8 weeks. The median OS was 4.37 (in our study, the score was 7), and the OS rate at 12 months was 37.5%. The Kaplan–Meier survival curve showed that the group with high blood glucose levels had a significantly shorter duration of survival than those with normal blood glucose levels. Adverse events of grade 3 and higher occurred in 50% of patients, and the most common severe adverse events included tumor pain (50%), hypertension (37.5%), tumor hemorrhage (25%), and decreased appetite (25%). The combination of anlotinib and sintilimab showed promising efficacy in controlling tumor size. However, the disappointing OS rate suggests that anti-vascular endothelial growth factor receptor agents should be used cautiously after radical radiation therapy. The combination used in this study demonstrated a toxicity profile comparable to that of other agents used in this setting. These findings warrant further investigation into the potential clinical utility of this combination.

UJI AKTIVITAS ANTIDIABETES EKSTRAK DAUN PACAR AIR (Impatiens balsamina L.) TERHADAP GINJAL TIKUS WISTAR (Rattus novergicus L.) YANG DIINDUKSI ALOKSAN

Background: Diabetes mellitus is a serious, "chronic" condition that occurs when there is an increase in a person's blood sugar levels because the body is unable to produce enough insulin hormones/cannot effectively use the insulin produced. A lack of insulin, or the inability of cells to respond to it, causes high blood glucose levels (hyperglycemia), which causes clinical indicators of diabetes. Methods: This research is an experimental study using a completely randomized design. Twenty-four male white rats were divided into 6 groups consisting of normal controls (KN) who received no treatment, negative controls (K-) who were injected with alloxan at a dose of 150 mg/kg BW, positive controls (K+) who were injected with alloxan at a dose of 150 mg/kg BW. kg BW and glibenclamide at a dose of 0.09 mg/200 g BW, Treatment 1 (P1) was injected with alloxan at a dose of 150 mg/kg BW and ethanol extract of water henna leaves at a dose of 450 mg/KG BW, Treatment 2 (P2) was injected with alloxan with a dose of 150 mg/kg BW and ethanol extract of water henna leaves with a dose of 500 mg/KG BW, Treatment 3 (P3) was injected with alloxan at a dose of 150 mg/kg BW and ethanol extract of water henna leaves with a dose of 550 mg/KG BW. Mice blood glucose levels were measured on days 0 (after alloxan induction), 3, 7, and 14. Before the measurements, the mice were fasted for 8 hours. Results: Research shows that administration of water henna leaf extract has a significant effect in reducing urea and creatinine levels, as well as improving kidney morphology. However, it could not prevent the alloxan-induced increase in kidney weight in white mice. Conclusion: Administration of henna leaf extract (Impatiens balsamina L.) at a dose of 500 mg/kg BW had a significant effect on reducing urea and creatinine levels in white rats induced by alloxan. Administration of water henna leaf extract (Impatiens balsamina L.) at a dose of 450 mg/kg BW had a significant effect in improving kidney morphology in alloxan-induced white rats, whereas the organ index of water henna leaf extract could not prevent the increase in kidney weight in white mice induced alloxan

Hypertension in India: a gender-based study of prevalence and associated risk factors

BackgroundHypertension, a major non-communicable disease, is responsible for a significant number of global deaths, including approximately 17.9 million yearly. The Global Burden of Disease 2019 (GBD 2019) estimates that 19% of global deaths are attributed to elevated blood pressure. India, with a population of over 1.4 billion, is facing a serious challenge in combating this silent killer. This study aims to analyze the gender-based prevalence of hypertension in India and explore its associated risk factors using data from the fifth National Family Health Survey (NFHS-5).MethodsNFHS-5 collected data from 636,699 households across all states and union territories. The study includes standardized blood pressure measurements for 17,08,241 individuals aged 15 and above. The data were analyzed using Stata, employing descriptive statistics for the assessment of the prevalence and binary logistic regression to identify predictors of hypertension.ResultsThe study found the overall prevalence of hypertension in India to be 22.6%, with men (24.1%) having a higher prevalence than women (21.2%). Prevalence increased with age, reaching 48.4% in individuals aged 60 and above. Urban residents had a slightly higher prevalence (25%) than rural residents (21.4%), indicating the rapid spread of hypertension across all populations. Regional variations were observed, with the highest prevalence in Sikkim (37.9%) and the lowest in Rajasthan (16.5%). Increasing age, urban residence, belonging to certain religions (Muslim and other than Hindu or Muslim), and being classified as Scheduled Tribes (ST) were associated with a higher likelihood of hypertension. Conversely, belonging to Scheduled Castes (SC) or Other Backward Classes (OBC), being currently unmarried, and having higher education were associated with a lower likelihood of hypertension. Wealth index analysis revealed that those in the richest quintile were more likely to have hypertension. Behavioural risk factors, such as alcohol consumption, overweight, obesity, increased waist circumference, and high blood glucose levels, are positively associated with hypertension.ConclusionHypertension is a significant health burden in India, affecting both men and women. Age is the strongest non-modifiable predictor for both men and women. However, ageing women have higher odds of hypertension than ageing men, and this distinction becomes much more evident in their older ages. Obese women, based on BMI, have higher odds of hypertension than men. However, hypertension prevalence is slightly higher among men who are overweight or obese compared to women. BMI, waist circumference, random glucose level, alcohol use, and education level emerged as major predictors. Health education and awareness campaigns are critical to control the growing burden of hypertension in India. Policymakers must focus on preventive measures, targeting lifestyle changes and improved healthcare access for both men and women. By addressing these risk factors, India can make significant progress in controlling hypertension and reducing its impact on public health.

Association between child marriage and high blood glucose level in women: A birth cohort analysis

ObjectivesChild marriage prematurely forces girls (<18 years of age) to perform adult roles prior to physical and psychological maturity. Such precocious transitions to young adulthood can have consequences on their long-term health, however, limited work has examined such relationships to date. As such, this study examines whether child marriage is associated with the risk of having hyperglycemia, or high blood glucose, in adulthood. Study designObservational study using repeated cross-sectional data. MethodsUsing data from the 2015-16 and 2019-21 waves of the India National Family Health Survey, we matched 432,080 and 418,409 women, aged 20 to 49 years, by birth year and month to create birth cohorts. Fitting multivariable binomial and multinomial logistic models, we compared the odds of having hyperglycemia across groups by marriage age (i.e., before or after age 18 years) within respective birth cohorts. ResultsWe found that the adjusted odds of having high blood glucose among women married as children were 1.12 (95% CI: 1.07 – 1.16) times that of their peers married as adults in the full-sample. The adjusted relative risks of having blood glucose levels higher than normal but lower than diabetic and diabetic ranges were 1.09 (95% CI: 1.04 – 1.14) and 1.23 (95% CI: 1.15 – 1.31), respectively, in comparison to blood glucose within normal range. These results were persistent across sub-groups of different birth cohorts. ConclusionOur findings suggest that child marriage was associated with higher risk of having high blood glucose in women, later in life.

Exercise intensities and metabolic health: Targeting blood glucose, insulin, and C-peptide levels in adults with prediabetes in the postprandial state

ObjectiveExercise improves postprandial glycemia and insulin sensitivity in individuals with prediabetes, but the optimal intensity for this metabolic regulation remains unclear. The current study explored the impact of various exercise intensities on blood glucose, insulin, and C-peptide levels in prediabetic individuals to identify the optimal intensity for improving these metabolic indicators. MethodsIn this crossover study, 25 individuals with prediabetes participated in exercise sessions at four different intensities 50 %, 60 %, 70 %, and 80 % of their predicted maximum heart rate using a treadmill. Each session lasted 30 min, including a 5-min warm-up and 5-min cool-down period. Blood samples were collected at four time points: during fasting, immediately before exercise, and 30 and 60 min post-exercise. These samples were analyzed for glucose, insulin, and C-peptide levels. The effects of exercise intensity on these parameters were evaluated using repeated measures analysis of variance (ANOVA), with post hoc tests conducted to determine specific differences between the intensities. ResultsThe participants had an average age of 34.88 years, mean height of 170 cm, and body mass index of 30.34 kg/m2. A significant reduction in insulin and glucose levels post-exercise was observed at 70 % intensity (p ≤ 0.001). Despite high fasting blood glucose levels (110–115 mg/dL), significant reductions were noted at 30 and 60 min post-exercise (p ≤ 0.001). Insulin levels approached near baseline at 70 % intensity, from fasting (26.74 ± 20.83) to 60 min post-exercise (28.47 ± 20.79), indicating a positive response at this intensity. C-peptide levels also showed significant changes, with 70 % intensity exercise bringing them closest to fasting levels by 60 min post-exercise. ConclusionThis study highlights the importance of exercise intensities in enhancing metabolic parameters in individuals with prediabetes. Specifically, 70 % of the predicted maximum heart rate was beneficial, optimizing insulin sensitivity and potentially reducing the risk of progressing from prediabetes to diabetes.

Mechanisms and Future Perspectives of Curcumin in Diabetes Management

Background: Diabetes is a chronic metabolic disorder that leads to significant damage to vital organs due to prolonged high blood glucose levels. These complications include cardiovascular disease, peripheral neuropathy, retinopathy (eye damage), nephropathy (kidney damage), myopathy, and foot infections. Type 2 diabetes mellitus (T2DM) is the most common form of diabetes, primarily affecting adults when the body becomes resistant to insulin or when insulin production by the pancreas is insufficient. Turmeric (Curcuma longa), a spice widely used around the world, has been traditionally recognized for its numerous health benefits, including antidiabetic, antioxidant, antibacterial, hepatoprotective, and anticancer properties. Among its active compounds, curcumin, a polyphenolic curcuminoid, has garnered significant attention for its potential role in managing diabetes and its complications. Methods: Data for this review were obtained from databases including PubMed, Elsevier, ScienceDirect, and Google Scholar. Search terms utilized included "diabetes," "type 2 diabetes," "diabetic complications," "turmeric," "curcumin," "oxidative stress and curcumin," "curcumin and nephropathy," "curcumin and retinopathy," "curcumin and neuropathy," "curcumin and cardiovascular diseases," "curcumin and cardiomyopathy," “curcumin and pyroptosis,” "curcumin and diabetic foot ulcer," and "curcumin and erectile dysfunction." Results: This review highlights the promising role of curcumin in transforming diabetes treatment and management. The findings demonstrate that curcumin offers protective effects against diabetic complications by modulating key signaling pathways, such as NF-κB, AMPK, MAPK, and AP-1. Its anti-inflammatory properties, inhibition of hepatic gluconeogenesis, and reduction of oxidative stress through antioxidant activity present a strong case for its therapeutic potential in diabetes care. Conclusion: This review provides an in-depth explanation of curcumin's mechanisms of action, detailing its medicinal effects on diabetes-related complications and key outcomes from preclinical and clinical studies supporting its potential benefits. It also outlines future directions for research into curcumin's role in diabetes treatment.

Relationship between Lipid and Blood Glucose Levels with Stroke Risk in Dupak Surabaya

Background: Stroke is a syndrome characterized by rapidly developing symptoms and/or clinical signs in the form of focal or global brain functional disorders lasting more than 24 hours which are not caused by causes other than vascular. Stroke is the number one cause of disability and the main cause of death in Indonesia (19.42% of total deaths). Dyslipidemia and diabetes mellitus are two-fold risk factors for stroke.This research is to determine the relationship between lipids and blood glucose and a high risk of stroke. Methods: This research uses descriptive analytical methods with a cross sectional approach. The population is residents in Dupak Surabaya. The sampling method is random sampling technique. The total research sample was 53 participants. The statistical test used is Chi Square. Result: Statistical results show that there is no relationship between high cholesterol levels and the risk of stroke and there is a relationship between high triglyceride and blood sugar levels and the risk of stroke.Conclusion:This research concluded that there was a significant relationship between high levels of triglycerides and blood glucose and the risk of stroke and there was no significant relationship between high cholesterol levels and the risk of stroke. This lack of significant association could be due to the heterogeneous population and the presence of previous anti-cholesterol medication.

Modified streptozotocin-induced diabetic model in rodents.

Streptozotocin (STZ)-induced type I diabetes mellitus (DM) models have been pivotal in diabetes research due to their ability to mimic the insulin-dependent hyperglycemia akin to human type I diabetes. However, these models often suffer from poor induction rates and low survival post-STZ induction, especially in long-term experiments, necessitating insulin supplementation, which introduces additional variables to experiments. To address this, we present a novel modification to the STZ-induced DM model in C57BL/6J mice to improve survival rates without insulin supplementation. Our method involves non-fasting, low-dose STZ injections dissolved in pH-neutral phosphate buffer saline instead of acidic sodium citrate buffer, administered over 5 days. We observed hyperglycemia induction in 94.28% of mice within a week post-injection, with stable high blood glucose levels, stable body weight, and minimal mortality up to 21 weeks. Notably, omitting 10% sucrose in water and fasting did not affect hyperglycemia induction. Our findings suggest that the modified protocol not only decreases the experimental effort of the researchers, but reduces animal stress and mortality, thus enhancing experimental outcomes and animal welfare. By optimizing the STZ-induced DM model in C57BL/6J mice, our study provides a valuable resource for researchers aiming to study diabetes and its complications while minimizing experimental variability and animal usage.

Intestinal Motility Dysfunction in Goto-Kakizaki Rats: Role of the Myenteric Plexus.

The morpho-quantitative analysis of myenteric plexus neurons in the small and large intestines of 120-day-old male GK rats was investigated. The diabetes was confirmed by high fasting blood glucose levels. The myenteric plexus was evaluated through wholemount immunofluorescence. The morpho-quantitative analyses included evaluating neuronal density (neurons per ganglion) of the total neuronal population, the cholinergic and nitrergic subpopulations, and enteric glial cells per ganglion. The cell body area of 100 neurons per segment per animal was measured. The total neurons and nitrergic subpopulation were unaltered in the GK rats' small and large intestines. The cholinergic subpopulation exhibited decreased density in the three segments of the small intestine and an increased number in the proximal colon of the GK rats. The number of enteric glial cells increased in the ileum of the GK rats, which could indicate enteric gliosis caused by the intestinal inflammatory state. The area of the cell body was increased in the total neuronal population of the jejunum and ileum of the GK rats. Frequency histograms of the cell body area distribution revealed the contribution of cholinergic neurons to larger areas in the jejunum and nitrergic neurons in the ileum. The constipation previously reported in GK rats might be explained by the decrease in the density of cholinergic neurons in the small intestine of this animal model.

High levels of blood lipid and glucose predict adverse prognosis in patients with aneurysmal subarachnoid hemorrhage

ObjectiveWe conducted a retrospective study on the prognostic factors of aneurysmal subarachnoid hemorrhage (aSAH) patients in the author's Hospital from January 2019 to May 2023. To discuss the association of the blood lipid and glucose levels of patients with the prognosis of aSAH, and verify that high blood lipid and glucose levels are important factors affecting adverse prognosis. MethodsAll patients with aSAH were collected as the case group, which was divided into two groups according to the modified Rankin Scores (mRS), the good prognosis group (Group A, mRS ＜ 3) and the adverse prognosis group (Group B,mRS ≥3). The clinical data of age, gender, accompanied chronic diseases (hypertension, diabetes), smoking, drinking, Glasgow Coma Scale (GCS), Hunt-Hess (H-H) grade, Modified Fisher grade, total cholesterol (TC) , triglyceride (TG) , high-density cholesterol lipoprotein (HDL-C) , low-density cholesterol lipoprotein (LDL-C) , blood glucose (BG) , responsible aneurysm diameter and location were recorded too. Correlations between blood lipid and glucose levels and Modified Fisher grade were assessed by the Spearman correlation analysis. The receiver operating characteristic (ROC) curve was utilized to evaluate the diagnostic efficacy. The effect of blood lipid and glucose levels on adverse prognosis was analyzed by Logistic regression models. ResultA total of 259 patients with aSAH were enrolled. The average age of all patients is (56.54 ± 10.52) years, including 96 males and 163 females. They were divided into Group A (n = 146) and Group B (n = 113). Univariate analysis results show that age, the levels of TC, TG, LDL-C, and BG were higher in Group B (P < 0.05). Besides, Group B had more severe GCS, H-H grade, and Modified Fisher grade than Group A, and a higher proportion of intracranial aneurysms with larger diameter (P < 0.05). Correlation analysis showed that TC, TG, LDL-C, and BG levels were positively correlated with Modified Fisher grade (P < 0.05) and H-H grade (P < 0.05). Multivariate logistic regression model analysis showed that high level of Modified Fisher grade (OR = 0.079, 95%CI: 0.027–0.230) , high level of H-H grade (OR = 0.204, 95%CI: 0.067–0.622) , TC (OR = 10.711, 95%CI: 2.457–46.700) , LDL-C (OR = 0.178, 95%CI: 0.039–0.823) and BG (OR = 1.273, 95%CI: 1.012–1.602) increased the risk of adverse prognosis. The AUC of “H-H grade”, “Modified Fisher grade”, “TC level”, “LDL-C level” and “BG level” was 0.822, 0.885, 0.860, 0.772, and 0.721, respectively, in the ROC curve. ConclusionModified Fisher grade, H-H grade, TC, LDL-C, and BG levels at admission were independent predictors of adverse prognosis of aSAH. Besides, TC, LDL-C, and BG levels were positively correlated with Modified Fisher grade and Hunt-Hess grade. What's more, high levels of TC, LDL-C, and BG combined with Modified Fisher grade and H-H grade can identify high-risk groups with adverse prognoses in aSAH patients.

Predictors and clinical outcomes of slow flow phenomenon in diabetic patients with chronic coronary syndrome

BackgroundCoronary slow flow (CSF) is characterized by late distal coronary perfusion of coronary arteries at the time of angiography despite the vessels appearing normal. The importance of CSF is still debatable. Therefore, this study aimed to investigate CSF’s predictors and clinical outcomes in diabetic patients with chronic coronary syndrome (CCS).Patient and methodsThis retrospective study included 250 diabetic patients diagnosed with chronic stable angina and referred for coronary angiography (CAG), showing normal coronaries with CSF (Group I) and 240 diabetic patients with normal coronaries and normal flow (Group II). The patients in both groups were followed up for one year to evaluate clinical outcomes.ResultsThe incidence of major adverse cardiac events (MACE) was higher in Group I than in Group II, but the difference was not statistically significant except when the composite endpoints of STEMI, NSTEMI, and unstable angina were combined under the term ACS. The independent predictors of CSF, as detected by multivariate regression analysis, were body mass index (BMI) (OR = 0.694, 95% CI = 0.295–0.842, P = 0.010), blood glucose during catheterization (OR = 0.647, 95% CI = 0.298–0.874, P = 0.008), serum triglycerides (OR = 0.574, 95% CI = 0.289–0.746, P = 0.010), and the neutrophil/lymphocyte ratio (NLR) (OR = 0.618, 95% CI = 0.479–0.892, P = 0.001).ConclusionSerum triglyceride levels, BMI, NLR, and high blood glucose levels at the time of catheterization were independent predictors of CSF in diabetic patients. MACE levels were higher in diabetic patients with CSF.

Exhaustive computational studies on pyrimidine derivatives as GPR119 agonist for the development of compounds against NIDDM

BackgroundType-2 Diabetes (T2DM) is a long-term medical disorder characterized by Insulin deficiency and high blood glucose levels. Among other medications to cure T2DM, the review of the literature found that various Pyrimidine derivatives act as an agonist for G-protein-coupled receptor 119 (GPR119) was proposed to control blood glucose levels by enhancing the function of pancreatic Beta-cells and its mechanism of action with fewer adverse effects. In the present research work, In-silico investigations were carried out to investigate the potential of the Pyrimidine analog as an agonist to the protein target GPR119 receptor. We performed exhaustive molecular modeling and protein modeling methodologies such as homology modeling, and molecular docking along with various drug designing tools such as 3D-QSAR and Pharmacophore Mapping to ascertain the design of better GPR119 agonists.ResultsBased on in-depth computational studies, we designed new pyrimidine moiety and analyzed them for GPR119 receptor agonist and further explored the ADMET properties. Designed compounds were found to exhibit better-predicted activities as compared to reference compound.ConclusionsThe current research on pyrimidine derivatives, using molecular docking, 3D-QSAR and Pharmacophore mapping demonstrated that the obtained computational model has significant properties and the designed molecules and Dataset from this model, produced antidiabetic compound against the target GPR119 i.e., compound 1S, 1Z and 1D with the docking score of − 11.696, − 9.314 and − 8.721, respectively. The pharmacokinetics and drug-likeness studies revealed that these compounds may be the future candidates for the treatment of diabetes acting via the GPR119 agonist mechanism.