Bioactive compounds of cinnamon and their effect on decreasing metabolic syndrome: systematic review / Compuestos bioactivos de canela y su efecto en la disminución del síndrome metabólico: revisión sistemática

Introducción. El síndrome metabólico (SM) aumenta el ingreso hospitalario y el riesgo de desarrollar COVID-19, los fármacos utilizados para su tratamiento ocasionan efectos secundarios por lo que se ha optado por la búsqueda de alternativas terapéuticas a base de compuestos bioactivos contenidos en plantas medicinales. La canela se utiliza como agente terapéutico debido a sus propiedades comprobadas con diversos mecanismos de acción reportados en el tratamiento de varias patologías. Objetivo. Documentar los estudios in vitro, in vivo, estudios clínicos y los mecanismos de acción reportados del efecto de la administración de extractos y polvo de canela en las comorbilidades relacionadas con el SM. Materiales y métodos. Revisión sistemàtica de artículos en bases de datos electrónicas, incluyendo estudios de canela en polvo, extractos acuosos, de acetato de etilo y metanol de la corteza de canela, período de 5 años, excluyendo todo artículo relacionado a su efecto antimicrobiano, antifúngico y aceite de canela. Resultados. Las evidencias de los principales compuestos bioactivos contenidos en la canela validan su potencial en el tratamiento de enfermedades relacionadas al SM, con limitados estudios que indagan en los mecanismos de acción correspondientes a sus actividades biológicas. Conclusiones. Las evidencias de las investigaciones validan su potencial en el tratamiento de estas patologías, debido a sus principales compuestos bioactivos: cinamaldehído, transcinamaldehído, ácido cinámico, eugenol y, antioxidantes del tipo proantocianidinas A y flavonoides, los cuales participan en diversos mecanismos de acción que activan e inhiben enzimas, con efecto hipoglucemiante (quinasa y fosfatasa), antiobesogénico (UPC1), antiinflamatorio (NOS y COX), hipolipemiante (HMG-CoA) y antihipertensivo (ECA)(AU)

Introduction. Metabolic syndrome (MS) increases hospital admission and the risk of developing COVID-19. Due to the side effects caused by the drugs used for its treatment, the search for therapeutic alternatives based on bioactive compounds contained in medicinal plants has been chosen. Cinnamon is used as a therapeutic agent due to its proven properties with various mechanisms of action reported in the treatment of various pathologies. Objective. To document the in vitro and in vivo studies, clinical studies and the mechanisms of action reported on the effect of the administration of cinnamon extracts and powder on comorbidities related to MS. Materials and methods. Systematic review of articles in electronic databases, including studies of cinnamon powder, aqueous extracts, ethyl acetate and methanol from cinnamon bark, over a period of 5 years, excluding all those articles related to its antimicrobial, antifungal and antimicrobial effect. cinnamon oil. Results. The evidence of the main bioactive compounds contained in cinnamon validates its potential in the treatment of diseases related to MS, with limited studies that investigate the mechanisms of action corresponding to its biological activities. Conclusions. Research evidence validates its potential in the treatment of these pathologies, due to its main bioactive compounds: cinnamaldehyde, transcinnamaldehyde, cinnamic acid, eugenol, and antioxidants of the proanthocyanidin A type and flavonoids, which participate in various mechanisms of action that activate and they inhibit enzymes, with hypoglycemic (kinase and phosphatase), antiobesogenic (UPC1), anti-inflammatory (NOS and COX), lipid-lowering (HMG-CoA) and antihypertensive (ACE) effects(AU)

Metformin - a new approach.

Metformin is a widely used biguanide drug recommended as a first-line antidiabetic for type 2 diabetes. Currently, metformin is used not only in the treatment of diabetes but also in other diseases. Some studies have shown that metformin causes weight loss in insulin-sensitive and insulin-resistant overweight and obese patients. Metformin is an effective and safe option for women with gestational diabetes and type 2 diabetes in pregnancy, and it may also increase the ovulation rate in patients with polycystic ovary syndrome (PCOS). Longer survival times have been observed in cancer patients using metformin. Metformin has been shown to significantly correlate with lower mortality in obese or type 2 diabetic women hospitalized for COVID-19. It also has a protective effect on the development and progression of many types of cancer. The mechanisms of action of metformin are complex and still not fully understood. Metformin has been shown to act through both AMP-activated protein kinase (AMPK)-dependent mechanisms and AMPK-independent mechanisms. This paper presents the benefits of using metformin in the treatment of various diseases.

Ramadan fasting in people with diabetes and chronic kidney disease (CKD) during the COVID-19 pandemic: The DaR global survey.

BACKGROUND AND AIMS: The DaR Global survey was conducted to observe the impact of the COVID-19 pandemic on the intentions to fast and the outcomes of fasting in people with diabetes and chronic kidney disease (CKD). METHODS: Muslim people with diabetes and CKD were surveyed in 13 countries shortly after the end of Ramadan 2020, using a simple Survey Monkey questionnaire. RESULTS: This survey recruited 6736 people with diabetes, of which 707 (10.49%) had CKD. There were 118 (16.69%) people with type1 diabetes (T1D), and 589 (83.31%) were with type2 diabetes (T2D). 62 (65.24%) people with T1D and 448 (76.06%) people with T2D had fasted with CKD. Episodes of hypoglycaemia and hyperglycaemia were more frequent among people with T1D compared to T2D, 64.52% and 43.54% vs 25.22% and 22.32% respectively. Visits to the emergency department and hospitalization were more frequent among people with CKD, however no significant difference was found between people with T1D and T2D. CONCLUSION: The COVID-19 pandemic had only a minor effect on the intention to fast during Ramadan in people with diabetes and CKD. However, hypoglycaemia and hyperglycaemia were found to be more frequent, as well as emergency visits and hospital admissions among people with diabetic kidney disease. Prospective studies are needed in future to evaluate the risk indicators of hypoglycaemia and hyperglycaemia among fasting people with CKD, especially in the context of different stages of kidney disease.

Clinical Experience of Using Telemedicine for the Management of Patients Using Continuous Subcutaneous Insulin Infusion in a Highly Complex Latin American Hospital.

INTRODUCTION: Continuous subcutaneous insulin infusion (CSII) has emerged as a potential solution for diabetes management during the pandemic, as it reduces the need for in-person visits and allows for remote monitoring of patients. Telemedicine has also become increasingly important in the management of diabetes during the pandemic, as it allows healthcare providers to provide remote consultations and support. Here, we discuss the implications of this approach for diabetes management beyond the pandemic, including the potential for increased access to care and improved patient outcomes. METHODS: We performed a longitudinal observational study between 1 March 2020 and 31 December 2020 to evaluate glycemic parameters in diabetic patients with CSII in a telehealth service. Glycemic parameters were time in range (TIR), time above range, time below range, mean daily glucose, glucose management indicator (GMI), and glycemic variability control. RESULTS: A total of 36 patients were included in the study, with 29 having type 1 diabetes and 6 having type 2 diabetes. The study found that the proportion of patients achieving target glucose variability and GMI remained unchanged during follow-up. However, in patients with type 2 diabetes, the time in target range increased from 70% to 80%, and the time in hyperglycemia decreased from 2% to 0%. CONCLUSIONS: The results of this study suggest that telemedicine is a strategy for maintaining glycemic control in patients using CSII. However, the lack of access to the internet and adequate telemonitoring devices make it difficult to use on a large scale in emerging countries like ours.

Results From a Randomized, Open-Label, Crossover Study Evaluating the Effect of the Aldosterone Synthase Inhibitor Baxdrostat on the Pharmacokinetics of Metformin in Healthy Human Subjects.

BACKGROUND: Due to the high comorbidity of diabetes and hypertension, co-administration of metformin with anti-hypertensive drugs is likely. Baxdrostat is an aldosterone synthase inhibitor in development for the potential treatment of hypertension. In vitro data indicated that baxdrostat inhibits the multidrug and toxin extrusion 1 (MATE1) and MATE2-K renal transporters. Metformin is a MATE substrate, so this study assessed potential effects of baxdrostat on the pharmacokinetics of metformin. METHODS: Twenty-seven healthy volunteers received 1000 mg metformin alone and 1000 mg metformin in the presence of 10 mg baxdrostat in a randomized, crossover manner. Each treatment was separated by 10 or more days. Blood and urine samples were collected over a 3-day period after each treatment to measure plasma and urine concentrations of metformin. Safety was assessed by adverse events (AEs), physical examinations, electrocardiograms, vital signs, and clinical laboratory evaluations. RESULTS: There were no deaths, serious AEs, discontinuations due to treatment-emergent AEs, or noteworthy increases in AEs with either treatment, indicating that metformin and baxdrostat were well-tolerated when co-administered. Baxdrostat did not significantly affect plasma concentrations or renal clearance of metformin. CONCLUSION: The results of this study suggest that diabetic patients with hypertension receiving both metformin and baxdrostat are unlikely to require dose adjustment. REGISTRATION: ClinicalTrials.gov identifier no. NCT05526690.

Metformin: update on mechanisms of action and repurposing potential.

Currently, metformin is the first-line medication to treat type 2 diabetes mellitus (T2DM) in most guidelines and is used daily by >200 million patients. Surprisingly, the mechanisms underlying its therapeutic action are complex and are still not fully understood. Early evidence highlighted the liver as the major organ involved in the effect of metformin on reducing blood levels of glucose. However, increasing evidence points towards other sites of action that might also have an important role, including the gastrointestinal tract, the gut microbial communities and the tissue-resident immune cells. At the molecular level, it seems that the mechanisms of action vary depending on the dose of metformin used and duration of treatment. Initial studies have shown that metformin targets hepatic mitochondria; however, the identification of a novel target at low concentrations of metformin at the lysosome surface might reveal a new mechanism of action. Based on the efficacy and safety records in T2DM, attention has been given to the repurposing of metformin as part of adjunct therapy for the treatment of cancer, age-related diseases, inflammatory diseases and COVID-19. In this Review, we highlight the latest advances in our understanding of the mechanisms of action of metformin and discuss potential emerging novel therapeutic uses.

Metformin use before COVID-19 vaccination and the risks of COVID-19 incidence, medical utilization, and all-cause mortality in patients with type 2 diabetes mellitus.

AIMS: We designed this study to determine whether metformin use before COVID-19 vaccination influences the risk of COVID-19 infection, medical utilization, and mortality. METHODS: We used the US collaborative network of TriNetX to identify 123,709 patients with type 2 diabetes mellitus fully vaccinated against COVID-19 between January 1, 2020, and November 22, 2022. The study selected 20,894 pairs of metformin users and nonusers by propensity score matching. The Kaplan-Meier method and Cox proportional hazards models were used to compare the risks of COVID-19 infection, medical utilization, and mortality between the study and control groups. RESULTS: No significant difference was noted between metformin users and nonusers in the risk of COVID-19 incidence (aHR = 1.02, 95% CI = 0.94-1.10). Compared to the control cohort, the metformin cohort exhibited a significantly lower risk of hospitalization (aHR = 0.85, 95% CI = 0.81-0.89), critical care services (aHR = 0.81, 95% CI = 0.70-0.94), mechanical ventilation (aHR = 0.75, 95% CI = 0.60-0.95), and mortality (aHR = 0.75, 95% CI = 0.63-0.89). The subgroup analyses and sensitivity analysis showed similar results. CONCLUSION: The present study showed that metformin use before COVID-19 vaccination could not reduce COVID-19 incidence; however, it was associated with significantly lower risks of hospitalization, intensive care service, mechanical ventilation, and mortality in fully vaccinated type 2 diabetes mellitus patients.

COVID-19 and Diabetes.

The prevalence of diabetes in people with coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), has varied worldwide. Most of the available evidence suggests a significant increase in severity and mortality of COVID-19 in people with either type 1 (T1DM) or type 2 diabetes mellitus (T2DM), especially in association with poor glycemic control. While new-onset hyperglycemia and new-onset diabetes (both T1DM and T2DM) have been increasingly recognized in the context of COVID-19 and have been associated with worse outcome, no conclusive evidence yet suggests direct tropism of SARS-CoV-2 on the ß cells of pancreatic islets. While all approved oral antidiabetic agents appear to be safe in people with T2DM having COVID-19, no conclusive data are yet available to indicate a mortality benefit with any class of these drugs, in the absence of large randomized controlled trials.

Effect of Various Dosing Schedules on the Pharmacokinetics of Oral Semaglutide: A Randomised Trial in Healthy Subjects.

BACKGROUND: Prescribing information instructs taking oral semaglutide (a glucagon-like peptide-1 analogue) in the fasting state, followed by a post-dose fasting period of ≥ 30 min. This trial compared the recommended dosing schedule with alternative schedules. METHODS: This was a randomised, single-centre, multiple-dose, open-label, five-armed, parallel-group trial in healthy subjects who received once-daily oral semaglutide (3 mg for 5 days followed by 7 mg for 5 days). Subjects (n = 156) were randomised to five dosing schedules: 2-, 4-, or 6-h pre-dose fast followed by a 30-min post-dose fast (treatment arms: 2 h-30 min, 4-30 min, 6 h-30 min); 2-h pre-dose fast followed by an overnight post-dose fast (treatment arm: 2 h-night); or overnight pre-dose fast followed by a 30-min post-dose fast (reference arm: night-30 min). Semaglutide plasma concentration was measured regularly until 24 h after the 10th dose. Endpoints included area under the semaglutide plasma concentration-time curve during a 24-h interval after the 10th dose (AUC0-24h) (primary endpoint) and maximum observed semaglutide plasma concentration after the 10th dose (Cmax) (secondary endpoint). RESULTS: Compared with an overnight pre-dose fast (reference arm: night-30 min), shorter pre-dose fasting times in the 2 h-night, 2 h-30 min, 4 h-30 min, and 6 h-30 min treatment arms resulted in significantly lower semaglutide AUC0-24h and Cmax after the 10th dose (estimated treatment ratio ranges: 0.12-0.43 and 0.11-0.44, respectively; p < 0.0001 for all comparisons). Semaglutide AUC0-24h and Cmax after the 10th dose were similar for the 2 h-30 min and 2 h-night treatment arms. CONCLUSION: This trial supports dosing oral semaglutide in accordance with prescribing information, which requires dosing in the fasting state. TRIAL REGISTRATION: ClinicalTrials.gov (NCT04513704); registered August 14, 2020.

Oral semaglutide is a human glucagon-like peptide-1 analogue that has been approved for the treatment of type 2 diabetes. It has been established that taking oral semaglutide with food or large volumes of water decreases absorption of the drug in the body. Current prescribing information instructs taking oral semaglutide on an empty stomach (known as the fasting state), with 120 mL/4 oz of water, then waiting for at least 30 min before consuming any food, water, or taking other oral medications. This study investigates whether different dosing schedules for oral semaglutide could potentially offer more flexibility to patients in the timing of their oral semaglutide dosing. The trial, conducted in healthy volunteers, compares the dosing schedule described in the prescribing information with different fasting times before (pre-dose) and after (post-dose) taking oral semaglutide during the day or evening, to see if there were any effects on the concentration of drug in the body. Compared to the recommended overnight fasting period, shorter pre-dose fasting periods of 2­6 h with a 30-min post-dose fast considerably reduced semaglutide exposure in the body. Similarly, semaglutide exposure was also reduced with a 2-h pre-dose fast combined with post-dose overnight fasting. These findings further support the current prescribing information, which states that patients should take their oral semaglutide dose after an overnight fast.

Metformin, a biological and synthetic overview.

Metformin is the most widely known anti-hyperglycemic, officially acquired by the USA government in 1995 and in 2001 it became the most prescribed treatment for type II diabetes. But how did it become the must-use drug for this disease in such a short period of time? it all started with traditional medicine, by using a plant known as "goat's rue" for the reduction of blood glucose levels. Its use arose in 1918 and evolved to the metformin synthesis in laboratories a couple of years later, using very rudimentary methods which involved melting and strong heating. Thus, a first synthetic route that allowed the preparation of the initial metformin derivates was established. Some of these resulted toxics, and others outperformed the metformin, reducing the blood glucose levels in such efficient way. Nevertheless, the risk and documented cases of lactic acidosis increased with metformin derivatives like buformin and phenformin. Recently, metformin has been widely studied, and it has been associated and tested in the treatment of type II diabetes, cancer, polycystic ovarian syndrome, cell differentiation to oligodendrocytes, reduction of oxidative stress in cells, weight reduction, as anti-inflammatory and even in the recent COVID-19 disease. Herein we briefly review and analyze the history, synthesis, and biological applications of metformin and its derivates.

Dipeptidyl Peptidase-4 Inhibitors, Glucagon-like Peptide-1 Receptor Agonists, and Sodium-Glucose Cotransporter-2 Inhibitors and COVID-19 Outcomes.

PURPOSE: It has been reported that dipeptidyl peptidase-4 inhibitors (DPP-4i), glucagon-like peptide-1 receptor agonists (GLP-1 RA), and sodium-glucose cotransporter-2 inhibitors (SGLT-2i) have a role in modulation of inflammation associated with coronavirus disease 2019 (COVID-19). This study assessed the effect of these drug classes on COVID-19-related outcomes. METHODS: Using a COVID-19 linkable administrative database, we selected patients aged ≥40 years with at least 2 prescriptions of DPP-4i, GLP-1 RA, or SGLT-2i or any other antihyperglycemic drug and a diagnosis of COVID-19 from February 15, 2020, to March 15, 2021. Adjusted odds ratios (ORs) with 95% CIs were used to calculate the association between treatments and all-cause and in-hospital mortality and COVID-19-related hospitalization. A sensitivity analysis was performed by using inverse probability treatment weighting. FINDINGS: Overall, 32,853 subjects were included in the analysis. Multivariable models showed a reduction of the risk for COVID-19 outcomes for users of DPP-4i, GLP-1 RA, and SGLT-2i compared with nonusers, although statistical significance was reached only in DPP-4i users for total mortality (OR, 0.89; 95% CI, 0.82-0.97). The sensitivity analysis confirmed the main results reaching a significant reduction for hospital admission in GLP-1 RA users and in-hospital mortality in SGLT-2i users compared with nonusers. IMPLICATIONS: This study found a beneficial effect in the risk reduction of COVID-19 total mortality in DPP-4i users compared with nonusers. A positive trend was also observed in users of GLP-1 RA and SGLT-2i compared with nonusers. Randomized clinical trials are needed to confirm the effect of these drug classes as potential therapy for the treatment of COVID-19.

A Retrospective Cohort Analysis of Two Computerized Insulin Infusion Protocols.

OBJECTIVE: The primary objective of this analysis was to compare the safety and efficacy of a novel computerized insulin infusion protocol (CIIP), the Lalani Insulin Infusion Protocol (LIIP), with an established CIIP, Glucommander. METHODS: We conducted a 10-month retrospective analysis of 778 patients in whom LIIP was used (August 18, 2020 to June 25, 2021) at six HonorHealth Hospitals in the Phoenix metropolitan area. These data were compared with Glucommander that was used at those same hospitals from January 1, 2018 to August 17, 2020, n = 4700. Primary end points of the project included average time to euglycemia and average time in hyperglycemia (>180 mg/dL) and hypoglycemia (<70 mg/dL). Additional subgroup analysis was done to evaluate CIIP performance in patients in whom maintenance of euglycemia was more challenging. RESULTS: The LIIP had a faster time to euglycemia (191 vs 222 minutes, P < .001) and similar time in hypoglycemia (2.79 vs 2.76 minutes, P = .50) for all patients, when compared with Glucommander. Similar observations were made for the following subgroups: diabetic ketoacidosis/hyperosmolar hyperglycemic state (DKA/HHS) patients, COVID-19 patients, patients on steroids, patients with ≥60 glomerular filtration rate (GFR), patients with renal insufficiency, and patients with sepsis. CONCLUSIONS: The LIIP is a safe and effective CIIP in managing intravenous insulin infusion rates. Utilization of LIIP resulted in reduced time to euglycemia, P < .001, when compared with Glucommander and did not cause increased hypoglycemia during the project period. Contributing factors to the success of LIIP may include improved clinical workflow, learnability and ease of use, compatibility with the Epic electronic health record (EHR), and its unique, dynamic and adaptive algorithm.