Application of Fabric Phase Sorptive Extraction as a Green Method for the Analysis of 10 Anti-Diabetic Drugs in Environmental Water Samples.

Due to the increased prevalence of diabetes, the consumption of anti-diabetic drugs for its treatment has likewise increased. Metformin is an anti-diabetic drug that is commonly prescribed for patients with type 2 diabetes and has been frequently detected in surface water and wastewaters, thus representing an emerging contaminant. Metformin can be prescribed in combination with other classes of anti-diabetic drugs; however, these drugs are not sufficiently investigated in environmental samples. Fabric phase sorptive extraction (FPSE) has emerged as a simple and green method for the extraction of analytes in environmental samples. In this study, FPSE coupled with a high-performance liquid chromatography diode array detector (HPLC-DAD) was employed for the simultaneous analysis of different classes of anti-diabetic drugs (metformin, dapagliflozin, liraglutide, pioglitazone, gliclazide, glimepiride, glargine, repaglinide, sitagliptin, and vildagliptin) in environmental water samples. Four different fabric membranes were synthesized but the microfiber glass filter coated with sol-gel polyethylene glycol (PEG 300) was observed to be the best FPSE membrane. The parameters affecting the FPSE process were optimized using a combination of one-factor-at-a-time processes and the design of experiments. The FPSE was evaluated as a green extraction method, based on green sample preparation criteria. The FPSE-HPLC-DAD method achieved acceptable validation results and was applied for the simultaneous analysis of anti-diabetic drugs in surface and wastewater samples. Glimepiride was detected below the quantification limit in both lake and river water samples. Dapagliflozin, liraglutide, and glimepiride were detected at 69.0 ± 1.0 µg·L-1, 71.9 ± 0.4 µg·L-1, and 93.9 ± 1.3 µg·L-1, respectively, in the city wastewater influent. Dapagliflozin and glimepiride were still detected below the quantification limit in city wastewater effluent. For the hospital wastewater influent, metformin and glimepiride were detected at 1158 ± 21 µg·L-1 and 28 ± 0.8 µg·L-1, respectively, while only metformin (392.6 ± 7.7 µg·L-1) was detected in hospital wastewater effluent.

Correlation of Serum Electrolyte Imbalances With Diabetic Duration and Medication Use: A Cross-Sectional Comparative Study.

BACKGROUND: Certain anti-diabetic medications may exacerbate electrolyte imbalances, potentially complicating glycemic control in diabetic patients. The present study aimed to correlate the serum electrolyte imbalances such as Na+, K+, Ca+2, Cl-, and Mg+2 with the duration of disease, glycemic control, and medication regimens. METHOD: In this cross-sectional study, 31 patients with type 2 diabetes mellitus (T2DM) and 30 healthy controls, with mean ages of 52.06 and 48.5 years, respectively, were recruited based on eligibility criteria. Data on demographic information, medication history, and duration of diabetes were collected. Fasting blood sugar (FBS), postprandial blood sugar (PPBS), glycated hemoglobin (HbA1C), and serum electrolytes were measured. The data were statistically analyzed. The mean differences in serum electrolytes between T2DM patients and non-diabetic participants were compared using the Mann-Whitney U test, and correlation analysis was performed. A p-value of <0.05 was considered statistically significant. RESULT: Around 9.6% of participants had diabetes duration of less than one year, while the majority (45%) fell within the 1-5-year duration range. Most diabetic patients (61.2%) exhibited poor glycemic control. Statistically significant differences were observed between the mean FBS, PPBS, and HbA1C levels of T2DM (150, 249, and 8.82, respectively) and control group (95, 114, and 5.52, respectively). Analysis of serum electrolytes showed statistically significant differences with regard to Na+, K+, and Cl- between the diabetic and control groups. Mean sodium and chloride levels were lower and potassium levels were higher in diabetic patients compared to the control group. Negative correlations were observed between sodium and chloride levels and duration of diabetes and HbA1C levels. CONCLUSION: The study reveals significant electrolyte imbalances in patients with T2DM, characterized by reduced sodium and chloride levels and elevated potassium levels compared to healthy controls. These alterations are closely associated with poor glycemic control and longer disease duration, emphasizing the importance of regular electrolyte monitoring in T2DM management to mitigate potential complications.

Anti-diabetic drug use and reduced risk of Parkinson's disease: A community-based cohort study.

BACKGROUND: Emerging evidence suggests a potential association between certain anti-diabetic drugs and a reduced risk of Parkinson's disease (PD). Limited population-based studies have investigated users of newer anti-diabetic drugs such as GLP-1 agonists or SGLT2 inhibitors. OBJECTIVE: The aim of this study was to assess the risk of PD among individuals with type 2 diabetes mellitus (T2DM) who were treated with various types of anti-diabetic drugs over time. METHODS: A population-based cohort comprising T2DM patients aged over 30 who used metformin, GLP-1 agonists, thiazolidinediones, sulfonylureas, DPP4 inhibitors, SGLT2 inhibitors, or meglitinides between January 1, 1999 and December 31, 2018. Data were obtained between the diabetes registration and drug purchase databases of Maccabi Healthcare Services. Time-dependent Cox regression models, adjusted for sex, age, and comorbidities were employed to calculate the adjusted hazard ratios (HRs) for the PD risk associated with different anti-diabetic drugs over time. RESULTS: The study population comprised 86,229 T2DM patients, with 53.9 % males. The mean age at the first anti-diabetic drug purchase was 59.0 ± 11.0 and 62.0 ± 11.0 years for men and women respectively. Compared to metformin, several drug types were associated with a significantly lower PD risk: thiazolidinediones (HR = 0.91, 95 % CI:0.074-1.14); DPP4 inhibitors (HR = 0.60, 95 % CI:0.53-0.67); meglitinides (HR = 0.63, 95 % CI:0.53-0.74); GLP-1 agonists (HR = 0.54, 95 % CI:0.39-0.73); and SGLT2 inhibitors (HR = 0.15, 95 % CI:0.10-0.21). CONCLUSIONS: Our results suggest a reduced risk of PD with certain anti-diabetic drugs, particularly SGLT2 inhibitors and GLP-1 agonists. Validation through extensive big-data studies is essential to confirm these results and to optimize PD prevention and management.

Association of dipeptidyl peptidase-4 inhibitor and recurrent pancreatitis risk among patients with type 2 diabetes: A retrospective cohort study.

Introduction: Following the introduction of incretin-based drugs to the market, instances of acute pancreatitis have been reported, leading the FDA to mandate a warning label. Incretin-based therapy has been linked to a rare yet significant adverse event known as acute pancreatitis. However, these concerns of use of incretin therapy remained an ongoing debate. Methods: This retrospective cohort study was extracted data from the National Health Insurance (NHI) program in Taiwan focused on those having prior hospitalization history of acute pancreatitis. We identified adult patients with type 2 diabetes, all patients who received new prescriptions one year after the diagnosis of hospitalization for acute pancreatitis for DPP-4 inhibitors (index date). Study participants were divided into two groups: those taking DPP-4 inhibitors (the DPP-4 inhibitors group, n = 331) and those not taking DPP-4 inhibitors (the non- DPP-4 inhibitors group, n = 918). The outcome of interest is the recurrence of hospitalization of acute pancreatitis. Results: The incidence density (per 1000 person-years) of acute pancreatitis was 23.16 for DPP-4 inhibitors group and 19.88 for non-DPP-4 inhibitor group. The relative risk is 0.86 (95% confidence interval (CI) 0.53-1.38). Results from the Cox proportional hazard model (HR) analysis, the DPP-4 inhibitor was associated with a neutral risk of acute pancreatitis HR 0.68; 95% CI: 0.42-1.09. Conclusions: In this extensive nationwide cohort study conducted in Taiwan, involving a substantial number of newly diagnosed cases, the utilization of DPP-4 inhibitors appears to show no significant correlation with an elevated risk of acute pancreatitis, even among diabetic patients deemed to be at a high risk. These results extend the safety reassurance of incretin-based therapy to individuals considered high-risk for such complications.

Diabetes and Abdominal Aortic Aneurysm: Is the Protective Effect on AAA Due to Antidiabetic Medications Alone, Due to the Disease Alone, or Both?

Diabetes is a metabolic disease that may result in multiple microvascular and macrovascular diseases. Interestingly, many studies have demonstrated the inverse relationship between diabetes and the development and expansion of abdominal aortic aneurysm (AAA). One hypothesis is that the aortic wall stiffness resulting from hyperglycemia and advanced glycation end products could delay the development and growth of AAA. Other studies have proposed that the concurrent use of antidiabetic medications which promote anti-inflammatory cytokines while hindering pro-inflammatory cytokines may potentially be the reason for this protective effect of diabetes on AAA. Contrastingly, the presence of diabetes has been found to have a negative effect on the outcome of AAA following its repair which may be due to elevated blood glucose negatively affecting the healing process. The current literature has also demonstrated the negative impact of the use of fluoroquinolones on AAA. This comprehensive review critically reviewed and summarized the role of diabetes, anti-diabetes medications and fluoroquinolones on AAA, and on the effect of diabetes and certain anti-diabetes medications on outcomes following its repair.

Role of SGLT2 Inhibitors, DPP-4 Inhibitors, and Metformin in Pancreatic Cancer Prevention.

Pancreatic carcinoma is a highly aggressive tumor that usually presents when it has already metastasized. Therapeutic options for cure remain scarce and rely on combination chemotherapy with limited sustainability. Diabetes is considered an important risk factor for the development of pancreatic cancer due to the production of proinflammatory cytokines, which result in increased cell proliferation. More than half of patients diagnosed with pancreatic cancer eventually develop diabetes due to the destruction of insulin-producing cells. The interlinkage of both diseases might identify a possible preventative strategy for reducing the incidence of pancreatic carcinoma. This study reviewed the recent literature on the association between pancreatic cancer risk and SGLT2 inhibitors, GLP-1 RA, DPP-4 inhibitors, and biguanides. There are mixed data regarding the relationship between GLP-1 RA and DPP-4 inhibitors and pancreatic cancer, with some trials suggesting that they might increase the risk. In contrast, studies have mostly revealed that SGLT2 inhibitors have an antiproliferative effect on various tumors, such as liver, pancreatic, prostate, bowel, lung, and breast carcinoma, which might be due to their mechanism of blockage of reabsorption of glucose by cells, lowering the amount of available glucose for the growth of tumor cells. Metformin, the first-line agent for diabetes, has also been shown to be associated with decreasing pancreatic cancer risk and improving prognosis in those who already have the disease. Dedicated trials are needed to further delineate the association of antidiabetic drugs with the risk of pancreatic cancer in the general population, as previous studies have mostly focused on diabetic patients.

Emerging Perspectives on the Impact of Diabetes Mellitus and Anti-Diabetic Drugs on Premenstrual Syndrome. A Narrative Review.

Diabetes mellitus (DM) and premenstrual syndrome (PMS) are global health challenges. Both disorders are often linked to a range of physical and psychological symptoms that significantly impact the quality of life of many women. Yet, the exact relation between DM and PMS is not clear, and the management of both conditions poses a considerable challenge. In this review, we aimed to investigate the interplay between DM, anti-diabetic drugs, and the different theories and symptoms of PMS. Female sex hormones are implicated in the pathophysiology of PMS and can also impair blood glucose control. In addition, patients with diabetes face a higher susceptibility to anxiety and depression disorders, with a significant number of patients experiencing symptoms such as fatigue and difficulty concentrating, which are reported in patients with PMS as well. Complications related to diabetic medications, such as hypoglycemia (with sulfonylurea) and fluid retention (with thiazolidinediones) may also mediate PMS-like symptoms. DM can, in addition, disturb the normal gut microbiota (GM), with a consequent loss of beneficial GM metabolites that guard against PMS, particularly the short-chain fatty acids and serotonin. Among the several available anti-diabetic drugs, those (1) with an anti-inflammatory potential, (2) that can preserve the beneficial GM, and (3) possessing a lower risk for hypoglycemia, might have a favorable outcome in PMS women. Yet, well-designed clinical trials are needed to investigate the anti-diabetic drug(s) of choice for patients with diabetes and PMS.

A short-term economic evaluation of early insulin therapy compared to oral anti-diabetic drugs in order to reduce the major adverse events in type 2 diabetes patients in Iran.

OBJECTIVE: While there are some recommendations about early insulin therapy in newly diagnosed Type 2 Diabetes Mellitus (T2DM) patients, there is not sufficient evidence on this strategy's cost-effectiveness. This study compared early insulin therapy versus oral anti-diabetic drugs (OADs) for managing T2DMusing a cost-effectiveness analysis approach in Iran. METHODS: In this economic evaluation, a decision analytic model was designed. The target population was newly diagnosed type 2 diabetic patients, and the study was carried out from the perspective of Iran's healthcare system with a one-year time horizon. Basal insulin, Dipeptidyl peptidase-4 (DPP-4) inhibitors, and Thiazolidinediones (TZDs) were compared in this evaluation. The main outcome for assessing the effectiveness of each intervention was the reduction in the occurrence of diabetes complications. Strategies were compared using the incremental cost-effectiveness ratio (ICER), and deterministic and probabilistic sensitivity analyses were carried out. RESULTS: The DPP-4 inhibitors strategy was the dominant strategy with the highest effectiveness and the lowest cost. Early insulin therapy was dominated (ICER: $-53,703.18), meaning that it was not cost-effective. The sensitivity analyses consistently affirmed the robustness of the base case findings. The probabilistic sensitivity analysis indicated probabilities of 77%, 22%, and 1% for DPP-4 inhibitors, TZDs strategies, and early insulin therapy, respectively, in terms of being cost-effective. CONCLUSION: In terms of cost-effectiveness, early insulin therapy was not cost-effective compared to OADs for managing newly diagnosed T2DM patients. Future studies in this regard, utilizing more comprehensive evidence, can yield more accurate results.

Metformin increases 3-hydroxy medium chain fatty acids in patients with type 2 diabetes: a cross-sectional pharmacometabolomic study.

Background: Metformin is a drug with a long history of providing benefits in diabetes management and beyond. The mechanisms of action of metformin are complex, and continue to be actively debated and investigated. The aim of this study is to identify metabolic signatures associated with metformin treatment, which may explain the pleiotropic mechanisms by which metformin works, and could lead to an improved treatment and expanded use. Methods: This is a cross-sectional study, in which clinical and metabolomic data for 146 patients with type 2 diabetes were retrieved from Qatar Biobank. Patients were categorized into: Metformin-treated, treatment naïve, and non-metformin treated. Orthogonal partial least square discriminate analysis and linear models were used to analyze differences in the level of metabolites between the metformin treated group with each of the other two groups. Results: Patients on metformin therapy showed, among other metabolites, a significant increase in 3-hydroxyoctanoate and 3-hydroxydecanoate, which may have substantial effects on metabolism. Conclusions: This is the first study to report an association between 3-hydroxy medium chain fatty acids with metformin therapy in patients with type 2 diabetes. This opens up new directions towards repurposing metformin by comprehensively understanding the role of these metabolites.

Therapeutic effects of anti-diabetic drugs on traumatic brain injury.

AIMS: In this narrative review, we have analyzed and synthesized current studies relating to the effects of anti-diabetic drugs on traumatic brain injury (TBI) complications. METHODS: Eligible studies were collected from Scopus, Google Scholar, PubMed, and Cochrane Library for clinical, in-vivo, and in-vitro studies published on the impact of anti-diabetic drugs on TBI. RESULTS: Traumatic brain injury (TBI) is a serious brain disease that is caused by any type of trauma. The pathophysiology of TBI is not yet fully understood, though physical injury and inflammatory events have been implicated in TBI progression. Several signaling pathways are known to play pivotal roles in TBI injuries, including Nuclear factor erythroid 2-related factor 2 (Nrf2), High mobility group box 1 protein/Nuclear factor kappa B (HMGB1/NF-κB), Adiponectin, Mammalian Target of Rapamycin (mTOR), Toll-Like Receptor (TLR), Wnt/ß-catenin, Janus Kinase/Signal Transducers and Activators of Transcription (JAK/STAT), Nod-like receptor protein3 (NLRP3) inflammasome, Phosphoglycerate kinase 1/Kelch-like ECH-associated protein 1 (PGK1/KEAP1)/Nrf2, and Mitogen-activated protein kinase (MAPK) . Recent studies suggest that oral anti-diabetic drugs such as biguanides, thiazolidinediones (TZDs), sulfonylureas (SUs), sodium-glucose cotransporter-2 inhibitors (SGLT2is), dipeptidyl peptidase-4 inhibitors (DPPIs), meglitinides, and alpha-glucosidase inhibitors (AGIs) could have beneficial effects in the management of TBI complications. These drugs may downregulate the inflammatory pathways and induce antioxidant signaling pathways, thus alleviating complications of TBI. CONCLUSION: Based on this comprehensive literature review, antidiabetic medications might be considered in the TBI treatment protocol. However, evidence from clinical trials in patients with TBI is still warranted.

Beyond drug discovery: Exploring the physiological and methodological dimensions of zebrafish in diabetes research.

Diabetes mellitus is a chronic disease that is now considered a global epidemic. Chronic diabetes conditions include type 1 and type 2 diabetes, both of which are normally irreversible. As a result of long-term uncontrolled high levels of glucose, diabetes can progress to hyperglycaemic pathologies, such as cardiovascular diseases, retinopathy, nephropathy and neuropathy, among many other complications. The complete mechanism underlying diabetes remains unclear due to its complexity. In this scenario, zebrafish (Danio rerio) have arisen as a versatile and promising animal model due to their good reproducibility, simplicity, and time- and cost-effectiveness. The Zebrafish model allows us to make progress in the investigation and comprehension of the root cause of diabetes, which in turn would aid in the development of pharmacological and surgical approaches for its management. The current review provides valuable reference information on zebrafish models, from the first zebrafish diabetes models using genetic, disease induction and chemical approaches, to the newest ones that further allow for drug screening and testing. This review aims to update our knowledge related to diabetes mellitus by gathering the most authoritative studies on zebrafish as a chemical, dietary and insulin induction, and genetic model for diabetes research.

The association between anti-diabetic agents and osteoporosis, sarcopenia, and osteosarcopenia among Iranian older adults; Bushehr Elderly Health (BEH) program.

PURPOSE: Various risk factors are mentioned for osteoporosis, sarcopenia, and osteosarcopenia. Our aim is to assess the impacts of anti-diabetic drugs on these disorders. METHODS: To perform this study, the participants' data was extracted from the Bushehr Elderly Health (BEH) program in Iran. Afterward, the data were categorized into three subgroups: osteoporosis, sarcopenia, and osteosarcopenia, based on WHO and European Working Group on Sarcopenia in Older People (EWGSOP-2) working group definitions. Demographic characteristics, anthropometric measures, past medical history, and current medications were recorded. Pearson chi-squared and simple/multiple logistic regression using Python (3.11.4) and R (4.3.1) programming software assessed the association between anti-diabetic agents and these bone disorders. RESULTS: Out of 1995 participants, 820, 848, and 404 had osteoporosis, sarcopenia, or osteosarcopenia, respectively. Among all types of anti-diabetic drugs, a significant protective association between osteoporosis and consumption of second-generation sulfonylureas was found; Adjusted Odd Ratio (AOR) = 0.65 ([95% CI: 0.45-0.94], p-value = 0.023). No associations were found between sarcopenia and consumption of anti-diabetic agents. A significant association was observed between using Meglitinides and the risk of osteosarcopenia; AOR = 4.98 ([95% CI: 1.5-16.55], p-value = 0.009). CONCLUSION: In conclusion, a protective association between consumption of second-generation sulfonylureas and osteoporosis was found. Moreover, a positive association was found between the consumption of meglitinides and osteosarcopenia. However, to support these findings, further studies are recommended.

Diabetology and Nanotechnology: A Compelling Combination.

The convergence of diabetology and nanotechnology has emerged as a promising synergy with the potential to revolutionize the management and treatment of diabetes mellitus. Diabetes, a complex metabolic disorder affecting millions worldwide, necessitates innovative approaches to enhance monitoring, diagnosis, and therapeutic interventions. Nanotechnology, a burgeoning field that manipulates materials at the nanoscale, offers unprecedented opportunities to address the challenges posed by diabetes. This abstract explores the multifaceted interface between diabetology and nanotechnology, highlighting key areas of integration. Nanotechnology has paved the way for the development of advanced glucose monitoring systems with enhanced accuracy, sensitivity, and patient convenience. Miniaturized biosensors and implantable devices equipped with nanoscale materials enable continuous and real-time glucose monitoring, empowering individuals with diabetes to make timely and informed decisions about their dietary and insulin management. Furthermore, nanotechnology has facilitated breakthroughs in targeted drug delivery, addressing the limitations of conventional therapies in diabetes treatment. Nano-sized drug carriers can improve bioavailability, enable controlled release, and enhance the selectivity of therapeutic agents, minimizing side effects and optimizing treatment outcomes. Moreover, nanoengineered materials have opened avenues for tissue engineering and regenerative medicine, offering the potential to restore damaged pancreatic islets and insulin-producing cells. The amalgamation of diabetology and nanotechnology also holds promise for early disease detection and prevention. Nanoscale diagnostic tools, such as biomarker-based nanoprobes and lab-onchip devices, offer rapid and accurate detection of diabetes-related biomolecules, enabling timely interventions and reducing the risk of complications. However, this compelling combination also presents challenges that warrant careful consideration. Safety, biocompatibility, regulatory approval, and ethical implications are crucial factors that demand meticulous evaluation during the translation of nanotechnology-based solutions into clinical practice. In conclusion, the integration of diabetology and nanotechnology represents a transformative paradigm that has the potential to reshape the landscape of diabetes management. By harnessing the unique properties of nanoscale materials, researchers and clinicians are poised to usher in an era of personalized and precise diagnostics, therapeutics, and preventive strategies for diabetes mellitus. As advancements in nanotechnology continue to unfold, the journey towards realizing the full potential of this compelling combination remains an exciting frontier in medical science.

Beyond Blood Sugar: Investigating the Cardiovascular Effects of Antidiabetic Drugs.

Cardiovascular disease is a major comorbidity associated with diabetes mellitus. Various antidiabetic drugs are currently used to treat type 2 diabetes mellitus and have varying effects on the cardiovascular system. Some drugs, such as glucagon-like peptide 1 (GLP-1) agonists and sodium-glucose cotransporter 2 (SGLT-2) inhibitors, are cardioprotective, whereas others, such as insulin, have deleterious effects on the cardiovascular system. This narrative review assessed the impact of antidiabetic drugs on cardiovascular health in the management of diabetes mellitus. It critically examines various classes of these medications, including conventional options such as metformin and newer agents such as incretin-based therapies and SGLT-2.

A green QuEChERS syringe filter based micro-solid phase extraction using hydrophobic natural deep eutectic solvent as immobilized sorbent for simultaneous analysis of five anti-diabetic drugs by HPLC-UV.

BACKGROUND: Here, it has been discussed about creating a specific and sustainable analytical technique for monitoring anti-diabetic drugs in order to accurately determine the dosage in patients and reduce side effects, remove them from wastewater (as emerging contaminants), and ultimately abate pharmaceutical pollutants in the environment. RESULTS: In this research, a green and reproducible Quick Easy Cheap Effective Rugged Safe (QuEChERS) method based on syringe filter based micro-solid phase extraction (SF-µSPE) coupled with HPLC-UV using a green sorbent was developed and optimized for the extraction of five anti-diabetic drugs from wastewater, serum, and plasma real samples. A novel green sorbent composed of a liquid mixture of thymol: menthol ([Thy]:[Men], 1:1) hydrophobic natural deep eutectic solvent (HNADES) and curcumin (Cur) immobilized into the non-toxic and biodegradable polyvinyl alcohol (PVA) electrospun nanofibers' mat was synthesized simply via cheap equipment. Cur was added to enhance the hydrophobicity and functionality of the sorbent. The immobilization process was performed by soaking the mat in the liquid mixture for a specific duration. The correct synthesis and experimental molar ratio of the HNADES components were confirmed by ATR-FTIR and NMR (1H and 13C) spectroscopy. The prepared green sorbent (Cur-HNADES/PVA) was characterized using ATR-FTIR, FE-SEM, EDX/EDX mapping analysis, and water contact angle (WCA) measurement, and it exhibited satisfactory adsorption capacity for the target analytes. SIGNIFICANCE: Under optimal conditions (pH = 6.0, adsorption cycle = 3, sample volume = 5.0 mL, desorption cycle = 1, type and volume of elution = 80:20 %v/v MeOH/ACN and 500.0 µL), the method was validated in terms of specificity, linear dynamic ranges (LDRs = 0.1-2000.0 µg L-1 and 0.1-1800.0 µg L-1), limits of detection (LODs = 0.03-0.09 µg L-1), and precision (within-day RSDs% = 0.32-1.45% and between-day RSDs% = 0.59-2.03%). Evaluation of the greenness aspects of the proposed method was accomplished using the Green Analytical Procedure Index (GAPI) and Analytical GREEnness (AGREE) approaches. It is noteworthy that the conducted research represents the first report of the synthesis and application of this novel and green sorbent for the determination of anti-diabetic drugs in the mentioned real samples.

Repurposing Drugs for Treatment of Age-Related Macular Degeneration.

The need for new drugs to treat dry forms of age-related macular degeneration remains high. A promising approach is repurposing of FDA-approved medications to treat AMD. Databases containing medical and drug records allow for retroactive identification of drugs whose use correlates with reduced AMD diagnosis. This short review summarizes progress in several classes of drugs considered for repurposing: GPR-143 agonists (L-DOPA), anti-diabetic drugs (metformin, acarbose, empagliflozin, fenofibrate), mitochondrial activators (PU-91), and serotonin pathway drugs (fluoxetine, flibanserin, xaliproden, buspirone). The promises and caveats of repurposing are discussed herein.

Crosstalk between Alzheimer's disease and diabetes: a focus on anti-diabetic drugs.

Alzheimer's disease (AD) and Type 2 diabetes mellitus (T2DM) are two of the most common age-related diseases. There is accumulating evidence of an overlap in the pathophysiological mechanisms of these two diseases. Studies have demonstrated insulin pathway alternation may interact with amyloid-ß protein deposition and tau protein phosphorylation, two essential factors in AD. So attention to the use of anti-diabetic drugs in AD treatment has increased in recent years. In vitro, in vivo, and clinical studies have evaluated possible neuroprotective effects of anti-diabetic different medicines in AD, with some promising results. Here we review the evidence on the therapeutic potential of insulin, metformin, Glucagon-like peptide-1 receptor agonist (GLP1R), thiazolidinediones (TZDs), Dipeptidyl Peptidase IV (DPP IV) Inhibitors, Sulfonylureas, Sodium-glucose Cotransporter-2 (SGLT2) Inhibitors, Alpha-glucosidase inhibitors, and Amylin analog against AD. Given that many questions remain unanswered, further studies are required to confirm the positive effects of anti-diabetic drugs in AD treatment. So to date, no particular anti-diabetic drugs can be recommended to treat AD.

The use of metformin, sulfonylurea compounds and insulin and the risk of hip fractures in diabetic patients: a systematic review and meta-analysis of observational studies.

BACKGROUND: Hip fracture is a major health problem that occurs more often in the elderly, especially in diabetic patients. Some studies have been conducted regarding the effect of anti- diabetic drugs on fractures. But so far, no meta-analysis study has been conducted to investigate the effect of diabetic drugs on hip fractures. Therefore, this study investigated the relationship between anti-diabetic drugs (Metformin, Sulfonylurea, and insulin) with hip fractures. METHODS: In this systematic review and meta analysis study, PubMed, Scopus, Google Scholar, and Web of Science databases were searched with specific keywords to find relevant studies. Two researchers included related studies after screening based on the title and full text. Cochran's Q and I2 tests were used to assess heterogeneity between studies. Publication bias between studies was evaluated for each drug using Egger's test. A 95% confidence interval was used for effect size significance. Overall, 49 studies, including 6,631,297 participants, were reviewed. RESULTS: The results showed that metformin significantly reduced the risk of hip fracture (HR: 0.833, 95% CI: 0.759, 0.914, P:0.001). Consumption of sulfonylurea compounds was significantly associated with an increased risk of hip fracture. (HR: 1.175, 95% CI:1.068,1.293, P:0.001), The risk of hip fracture in patients receiving insulin was significantly higher than in diabetic patients who did not receive insulin. (HR:1.366, 95% CI:1.226,1.522, P:0.001). CONCLUSION: The results of this study showed that taking metformin reduces the risk of hip fracture, and insulin and Sulfonylurea increase the risk of hip fracture.

Insight on Infections in Diabetic Setting.

The correlation between diabetes mellitus and infectious diseases is widely recognized. DM patients are characterized by the impaired function of the immune system. This translates into the occurrence of a variety of infections, including urinary tract, skin and surgical site infections, pneumonia, tuberculosis, and, more recently, SARS-CoV-2. Hyperglycemia has been identified as a relevant factor contributing to unfavorable outcomes in hospitalized patients including SARS-CoV-2 patients. Several studies have been performed proving that to maintain the proper and stringent monitoring of glycemia, a balanced diet and physical activity is mandatory to reduce the risk of infections and their associated complications. This review is focused on the mechanisms accounting for the increased susceptibility of DM patients to infections, with particular attention to the impact of newly introduced hypoglycemic drugs in sepsis management.

Clinical Evidence and Practice-Based Guidelines on the Utility of Basal Insulin Combined Oral Therapy (Metformin and Glimepiride) in the Current Era.

BACKGROUND AND AIM: Basal insulin combined oral therapy consisting of insulin and oral anti-diabetic drugs (OADs) is recommended for type 2 diabetes uncontrolled on OADs. There is a lack of clear evidence and recommendations on the combined use of basal insulin analogues to more than one OADs (glimepiride plus metformin) in effective control of glycemic parameters and its safety in terms of reduced hypoglycemic events, weight gain and cardiovascular risk. In this context, a group of clinical experts discussed the utility of basal insulin combined oral therapy with metformin and glimepiride in the current era. METHODS: The clinical experts discussed and provided their inputs virtually. The expert panel included clinical experts comprising endocrinologists and diabetologists from India and Nepal. RESULTS: The panel thoroughly reviewed existing literature on the subject and proposed clinical evidence and practice-based guidelines. CONCLUSION: These current clinical practice guidelines highlight the efficacy and safety of basal insulin combination therapy with various available basal insulins including neutral protamine hagedorn, detemir, glargine and degludec in addition to metformin and glimepiride therapy.