Displaying publications 1 - 20 of 642 in total

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  1. Kingsbury AN
    Lancet, 1925;205:18-19.
    DOI: 10.1016/S0140-6736(01)04729-8
    Matched MeSH terms: Insulin
  2. Cogger VC, Mohamad M, Le Couteur DG
    Aging (Albany NY), 2017 11 15;9(11):2237-2238.
    PMID: 29140795 DOI: 10.18632/aging.101330
    Matched MeSH terms: Insulin*; Insulin Resistance*
  3. Elhassan SA, Wong YH, Bhattamisra SK, Candasamy M
    Minerva Med, 2022 Oct;113(5):896-897.
    PMID: 32683846 DOI: 10.23736/S0026-4806.20.06611-2
    Matched MeSH terms: Insulin*; Insulin-Secreting Cells*
  4. Ji L, Luo Y, Bee YM, Xia J, Nguyen KT, Zhao W, et al.
    J Diabetes, 2023 Jun;15(6):474-487.
    PMID: 37088916 DOI: 10.1111/1753-0407.13392
    The objective of this study was to provide recommendations regarding effectiveness, safety, optimal starting dose, optimal maintenance dose range, and target fasting plasma glucose of five basal insulins (glargine U-300, degludec U-100, glargine U-100, detemir, and insulin protamine Hagedorn) in insulin-naïve adult patients with type 2 diabetes in the Asia-Pacific region. Based on evidence from a systematic review, we developed an Asia-Pacific clinical practice guideline through comprehensive internal review and external review processes. We set up and used clinical thresholds of trivial, small, moderate, and large effects for different critical and important outcomes in the overall certainty of evidence assessment and balancing the magnitude of intervention effects when making recommendations, following GRADE methods (Grading of Recommendations, Assessment, Development, and Evaluation). The AGREE (Appraisal of Guidelines, Research and Evaluation) and RIGHT (Reporting Items for practice Guidelines in HealThcare) guideline reporting checklists were complied with. After the second-round vote by the working group members, all the recommendations and qualifying statements reached over 75% agreement rates. Among 44 contacted external reviewers, we received 33 clinicians' and one patient's comments. The overall response rate was 77%. To solve the four research questions, we made two strong recommendations, six conditional recommendations, and two qualifying statements. Although the intended users of this guideline focused on clinicians in the Asia-Pacific region, the eligible evidence was based on recent English publications. We believe that the recommendations and the clinical thresholds set up in the guideline can be references for clinicians who take care of patients with type 2 diabetes worldwide.
    Matched MeSH terms: Insulin Glargine; Insulin; Insulin, Long-Acting
  5. Othman NA, Azhar MAAS, Damanhuri NS, Mahadi IA, Abbas MH, Shamsuddin SA, et al.
    Comput Methods Programs Biomed, 2023 Jun;236:107566.
    PMID: 37186981 DOI: 10.1016/j.cmpb.2023.107566
    BACKGROUND AND OBJECTIVE: The identification of insulinaemic pharmacokinetic parameters using the least-squares criterion approach is easily influenced by outlying data due to its sensitivity. Furthermore, the least-squares criterion has a tendency to overfit and produce incorrect results. Hence, this research proposes an alternative approach using the artificial neural network (ANN) with two hidden layers to optimize the identifying of insulinaemic pharmacokinetic parameters. The ANN is selected for its ability to avoid overfitting parameters and its faster speed in processing data.

    METHODS: 18 voluntarily participants were recruited from the Canterbury and Otago region of New Zealand to take part in a Dynamic Insulin Sensitivity and Secretion Test (DISST) clinical trial. A total of 46 DISST data were collected. However, due to ambiguous and inconsistency, 4 data had to be removed. Analysis was done using MATLAB 2020a.

    RESULTS AND DISCUSSION: Results show that, with 42 gathered dataset, the ANN generates higher gains, ∅P = 20.73 [12.21, 28.57] mU·L·mmol-1·min-1 and ∅D = 60.42 [26.85, 131.38] mU·L·mmol-1 as compared to the linear least square method, ∅P = 19.67 [11.81, 28.02] mU·L·mmol-1 ·min-1 and ∅D = 46.21 [7.25, 116.71] mU·L·mmol-1. The average value of the insulin sensitivity (SI) of ANN is lower with, SI = 16 × 10-4 L·mU-1 ·min-1 than the linear least square, SI = 17 × 10-4 L·mU-1 ·min-1.

    CONCLUSION: Although the ANN analysis provided a lower SI value, the results were more dependable than the linear least square model because the ANN approach yielded a better model fitting accuracy than the linear least square method with a lower residual error of less than 5%. With the implementation of this ANN architecture, it shows that ANN able to produce minimal error during optimization process particularly when dealing with outlying data. The findings may provide extra information to clinicians, allowing them to gain a better knowledge of the heterogenous aetiology of diabetes and therapeutic intervention options.

    Matched MeSH terms: Insulin; Insulin Resistance*
  6. Minh HV, Tien HA, Sinh CT, Thang DC, Chen CH, Tay JC, et al.
    J Clin Hypertens (Greenwich), 2021 Mar;23(3):529-537.
    PMID: 33415834 DOI: 10.1111/jch.14155
    Insulin resistance (IR), a metabolic risk factor, is linked to the pathogenetic mechanism of primary hypertension. Detecting IR in the patients with hypertension will help to predict and stratify the added cardiovascular risk, institute appropriate IR management, and manage hypertension optimally. There are many methods for assessing IR, each with distinct advantages and disadvantages. The euglycemic insulin clamp and intravenous glucose tolerance test, gold standards for measuring IR, are used in research but not in clinical practice. Homeostatic model assessment (HOMA-IR), a method for assessing β-cell function and IR, is frequently applied presently, particularly in Asia. Besides, the triglyceride-glucose index (TyG) first published by South American authors showed a good correlation with the insulin clamp technique and HOMA-IR index. This simple, convenient, and low-cost TyG index is of research interest in many countries in Asia and can be used to screen for IR in the Asian hypertensive community.
    Matched MeSH terms: Insulin; Insulin Resistance*
  7. Fauzi A, Thoe ES, Quan TY, Yin ACY
    J Diabetes Complications, 2023 Nov;37(11):108629.
    PMID: 37866274 DOI: 10.1016/j.jdiacomp.2023.108629
    Alzheimer Associated Diabetes Mellitus, commonly known as Type 3 Diabetes Mellitus (T3DM) is a distinct subtype of diabetes with a pronounced association with Alzheimer's disease (AD). Insulin resistance serves as a pivotal link between these two conditions, leading to diminished insulin sensitivity, hyperglycemia, and impaired glucose uptake. The brain, a vital organ in AD context, is also significantly impacted by insulin resistance, resulting in energy deficits and neuronal damage, which are hallmark features of the neurodegenerative disorder. To pave the way for potential therapeutic interventions targeting the insulin resistance pathway, it is crucial to comprehend the intricate pathophysiology of T3DM and identify the overlapped features between diabetes and AD. This comprehensive review article aims to explore various pathway such as AMPK, PPARγ, cAMP and P13K/Akt pathway as potential target for management of T3DM. Through the analysis of these complex mechanisms, our goal is to reveal their interdependencies and support the discovery of innovative therapeutic strategies. The review extensively discusses several promising pharmaceutical candidates that have demonstrated dual drug action mechanisms, addressing both peripheral and cerebral insulin resistance observed in T3DM. These candidates hold significant promise for restoring insulin function and mitigating the detrimental effects of insulin resistance on the brain. The exploration of these therapeutic options contributes to the development of innovative interventions that alleviate the burden of T3DM and enhance patient care.
    Matched MeSH terms: Insulin/metabolism; Insulin/therapeutic use
  8. BROWNE J
    Med J Malaya, 1954 Dec;9(2):99-114.
    PMID: 14355274
    Matched MeSH terms: Insulin*; Insulin Coma*
  9. Sharma M, Chan HK, Lavilla CA, Uy MM, Froemming GRA, Okechukwu PN
    Fundam Clin Pharmacol, 2023 Aug;37(4):769-778.
    PMID: 36905079 DOI: 10.1111/fcp.12892
    Streptozotocin (STZ) is a broad-spectrum antibiotic that is toxic to the insulin-producing beta cells of the pancreatic islets. STZ is currently used clinically for the treatment of metastatic islet cell carcinoma of the pancreas and the induction of diabetes mellitus (DM) in rodents. So far, there has been no previous research to show that STZ injection in rodents causes insulin resistance in type 2 diabetes mellitus (T2DM). The purpose of this study was to determine if rats (Sprague-Dawley) developed type 2 diabetes mellitus (insulin resistance) after 72 h of intraperitoneal administration of 50 mg/kg STZ. Rats with fasting blood glucose levels above 11.0 mM, 72 h post-STZ induction, were used. The body weight and plasma glucose levels were measured every week throughout the 60-day treatment period. The plasma, liver, kidney, pancreas, and smooth muscle cells were harvested for antioxidant, biochemical analysis, histology, and gene expression studies. The results revealed that STZ was able to destroy the pancreatic insulin-producing beta cell, as evidenced by an increase in plasma glucose level, insulin resistance, and oxidative stress. Biochemical investigation indicates that STZ can generate diabetes complications through hepatocellular damage, elevated HbA1c, kidney damage, hyperlipidemia, cardiovascular damage, and impairment of the insulin-signaling pathway.
    Matched MeSH terms: Insulin/metabolism; Insulin Resistance*
  10. Kow CS, Ramachandram DS, Hasan SS
    Acta Diabetol, 2022 Feb;59(2):285-286.
    PMID: 34648089 DOI: 10.1007/s00592-021-01810-x
    Matched MeSH terms: Insulin*
  11. Alfatama M
    Nat Nanotechnol, 2024 Apr;19(4):424-425.
    PMID: 38168928 DOI: 10.1038/s41565-023-01561-6
    Matched MeSH terms: Insulin*
  12. Nawaz MS, Shah KU, Khan TM, Rehman AU, Rashid HU, Mahmood S, et al.
    Diabetes Metab Syndr, 2017 Dec;11 Suppl 2:S833-S839.
    PMID: 28709853 DOI: 10.1016/j.dsx.2017.07.003
    OBJECTIVE: Diabetes mellitus is a major health problem in developing countries. There are various insulin therapies to manage diabetes mellitus. This systematic review evaluates various insulin therapies for management of diabetes mellitus worldwide. This review also focuses on recent developments being explored for better management of diabetes mellitus.

    RESEARCH DESIGN AND METHOD: We reviewed a number of published articles from 2002 to 2016 to find out the appropriate management of diabetes mellitus. The paramount parameters of the selected studies include the insulin type & its dose, type of diabetes, duration and comparison of different insulin protocols. In addition, various newly developed approaches for insulin delivery with potential output have also been evaluated.

    RESULTS: A great variability was observed in managing diabetes mellitus through insulin therapy and the important controlling factors found for this therapy include; dose titration, duration of insulin use, type of insulin used and combination therapy of different insulin.

    CONCLUSION: A range of research articles on current trends and recent advances in insulin has been summarized, which led us to the conclusion that multiple daily insulin injections or continuous subcutaneous insulin infusion (insulin pump) is the best method to manage diabetes mellitus. In future perspectives, development of the oral and inhalant insulin would be a tremendous breakthrough in Insulin therapy.

    Matched MeSH terms: Insulin/administration & dosage; Insulin/therapeutic use*
  13. Yee HY, Yang JJ, Wan YG, Chong FL, Wu W, Long Y, et al.
    Zhongguo Zhong Yao Za Zhi, 2019 Apr;44(7):1289-1294.
    PMID: 31090283 DOI: 10.19540/j.cnki.cjcmm.20181105.003
    It is considered that insulin resistance(IR)and its signaling pathway disorder are one of pathogenesis that causes insulin target-organs/issues lesions and their slow progression. The clinical diagnosis index of IR is the homeostatic model of insulin resistance(HOMA-IR)based on fasting blood-glucose and fasting serum insulin. Furthermore, the emerging IR biomarkers including adiponectin may be the references for clinical diagnosis. The influence factors of IR are obesity, chronic microinflammation and a lack of exercise. The major signaling pathways of IR include insulin receptor substrate 1(IRS1)/phosphatidylinositiol-3-kinase(PI3 K)/serine-threonine kinase(Akt)pathway, mitogen-activated protein kinase(MAPK)pathway and Smad3 pathway. In clinics, insulin sensibility and IR could be increased and improved via promoting insulin secretion and enhancing insulin signaling activation. At present, insulin sensitizers treating IR not only have the classic thiazolidinediones and its ramifications but also have the newly discovered metformin and vitamin D. In addition, it is reported that some extracts from single Chinese herbal medicine(CHM)and Chinese herbal compound prescription such as total flavone from the flowers of Abelmoschl manihot, berberine, astragalus polysaccharides and Huang-qi decoction also have the beneficial effects in ameliorating IR. In the field of chronic kidney disease, targeting a common insulin target-organs/issues lesion, the early renal damage in diabetic mellitus, the intervention studies regarding to regulating podocyte IR signaling pathways by CHM will be one of the significant directions in the future.
    Matched MeSH terms: Insulin; Insulin Resistance*
  14. Hani H, Nazariah Allaudin Z, Mohd-Lila MA, Sarsaifi K, Tengku-Ibrahim TA, Mazni Othman A
    Xenotransplantation, 2016 03;23(2):128-36.
    PMID: 26792070 DOI: 10.1111/xen.12220
    BACKGROUND: Pancreatic islets are composed of different hormone-secreting cell types. A finely balanced combination of endocrine cells in the islets regulates intraportal vein secretions and plasma nutrient levels. Every islet cell type is distinguished by its specific secretory granule pattern and hormone content, endocrine and cell signaling mechanisms, and neuronal interactions. The scarcity of pancreatic islet donors for patients with diabetes has caused a considerable interest in the field of islet xenotransplantation. Previous studies have shown that cell arrangement in the pancreatic islets of ruminants differs from that of other mammals; however, caprine islet cytoarchitecture has not yet been comprehensively described. This investigation aimed to characterize caprine islets in regard to better understanding of caprine islet structure and compare with previously reported species, by conducting a detailed analysis of islet architecture and composition using confocal microscopy and immunofluorescence staining for pancreatic islet hormones.

    METHODOLOGY: After collection and purification of caprine islets with Euro-Ficoll density gradients, islets were considered for viability and functionality procedures with DTZ (dithizone) staining and GSIST (glucose-stimulated insulin secretion test) subsequently. Batches of islet were selected for immunostaining and study through confocal microscopy and flow cytometry.

    RESULTS: Histological sections of caprine pancreatic islets showed that α-cells were segregated at the periphery of β-cells. In caprine islets, α- and δ-cells remarkably were intermingled with β-cells in the mantle. Such cytoarchitecture was observed in all examined caprine pancreatic islets and was also reported for the islets of other ruminants. In both small and large caprine islets (< 150 and > 150 μm in diameter, respectively), the majority of β-cells were positioned at the core and α-cells were arranged at the mantle, while some single α-cells were also observed in the islet center. We evaluated the content of β-, α-, and δ-cells by confocal microscopy (n = 35, mean ± SD; 38.01 ± 9.50%, 30.33 ± 10.11%, 2.25 ± 1.10%, respectively) and flow cytometry (n = 9, mean ± SD; 37.52 ± 9.74%, 31.72 ± 4.92%, 2.70 ± 2.81%, respectively). Our findings indicate that the caprine islets are heterogeneous in cell composition. The difference could be attributed to species-specific interaction between endocrine cells and blood.

    CONCLUSIONS: Comparative studies of islet architecture may lead to better understanding of islet structure and cell type population arrangement. These results suggest the use of caprine islets as an addition to the supply of islets for diabetes research.

    Matched MeSH terms: Insulin/metabolism; Insulin-Secreting Cells/metabolism
  15. Bhattamisra SK, Siang TC, Rong CY, Annan NC, Sean EHY, Xi LW, et al.
    Curr Diabetes Rev, 2019;15(5):382-394.
    PMID: 30648511 DOI: 10.2174/1573399815666190115145702
    BACKGROUND: The incidence of diabetes is increasing steeply; the number of diabetics has doubled over the past three decades. Surprisingly, the knowledge of type 3c diabetes mellitus (T3cDM) is still unclear to the researchers, scientist and medical practitioners, leading towards erroneous diagnosis, which is sometimes misdiagnosed as type 1 diabetes mellitus (T1DM), or more frequently type 2 diabetes mellitus (T2DM). This review is aimed to outline recent information on the etiology, pathophysiology, diagnostic procedures, and therapeutic management of T3cDM patients.

    METHODS: The literature related to T3cDM was thoroughly searched from the public domains and reviewed extensively to construct this article. Further, existing literature related to the other forms of diabetes is reviewed for projecting the differences among the different forms of diabetes. Detailed and updated information related to epidemiological evidence, risk factors, symptoms, diagnosis, pathogenesis and management is structured in this review.

    RESULTS: T3cDM is often misdiagnosed as T2DM due to the insufficient knowledge differentiating between T2DM and T3cDM. The pathogenesis of T3cDM is explained which is often linked to the history of chronic pancreatitis, pancreatic cancer. Inflammation, and fibrosis in pancreatic tissue lead to damage both endocrine and exocrine functions, thus leading to insulin/glucagon insufficiency and pancreatic enzyme deficiency.

    CONCLUSION: Future advancements should be accompanied by the establishment of a quick diagnostic tool through the understanding of potential biomarkers of the disease and newer treatments for better control of the diseased condition.

    Matched MeSH terms: Insulin
  16. Lee VS, Sukumaran SD, Tan PK, Kuppusamy UR, Arumugam B
    Comput Biol Chem, 2021 Jun;92:107501.
    PMID: 33989998 DOI: 10.1016/j.compbiolchem.2021.107501
    Naturally occurring proteins are emerging as novel therapeutics in the protein-based biopharmaceutical industry for the treatment of diabetes and obesity. However, proteins are not suitable for oral delivery due to short half-life, reduced physical and chemical stability and low permeability across the membrane. Chemical modification has been identified as a formulation strategy to enhance the stability and bioavailability of protein drugs. The present study aims to study the effect of charge-specific modification of basic amino acids (Lys, Arg) and guanidination on the interaction of insulin with its receptor using molecular modelling. Our investigation revealed that the guanidination of insulin (Lys-NHC = NHNH2) enhanced and exerted stronger binding of the protein to its receptor through electrostatic interaction than native insulin (Lys-NH3+). Point mutations of Lys and Arg (R22, K29; R22K, K29; R22, K29R; R22K, K29R) were attempted and the effects on the interaction and stability between insulin/modified insulins and insulin receptor were also analyzed in this study. The findings from the study are expected to provide a better understanding of the possible mechanism of action of the modified protein at a molecular level before advancing to real experiments.
    Matched MeSH terms: Insulin/chemistry*; Receptor, Insulin/chemistry*
  17. Das S, Suhaimi F, Ho C, Ho SE
    MyJurnal
    Diabetes mellitus (DM) is a metabolic disease which is characterized by hyperglycemia. There is either disturbance in insulin secretion or defective insulin action or even a combination of both. Usually, there are few confounding factors like genetic, obesity, sedentary life style, atherosclerosis, and even faulty dietary habits which lead or aggravate DM. Usually, the individual does not care and often the complications resulting from hyperglycaemia are fatal. Complications in DM involve the cardiovascular, musculoskeletal, endocrine, renal and neurological systems in the body. Treatment of diabetic complications is not only costly but it is also a burden on the affected families. The present review discusses the challenges faced in DM with special concern on diet and food habits. Knowledge of proper food consumption may also help an individual combat complication in DM and reduce the mortality and morbidity.
    Keywords: Diabetes mellitus; complications; food; habits; mortality; morbidity
    Matched MeSH terms: Insulin
  18. Godman B, Haque M, Kumar S, Islam S, Charan J, Akter F, et al.
    Curr Med Res Opin, 2021 09;37(9):1529-1545.
    PMID: 34166174 DOI: 10.1080/03007995.2021.1946024
    INTRODUCTION: Prevalence rates for diabetes mellitus continue to rise, which, coupled with increasing costs of complications, has appreciably increased expenditure in recent years. Poor glycaemic control including hypoglycaemia enhances complication rates and associated morbidity, mortality and costs. Consequently, this needs to be addressed. Whilst the majority of patients with diabetes have type-2 diabetes, a considerable number of patients with diabetes require insulin to help control their diabetes. Long-acting insulin analogues were developed to reduce hypoglycaemia associated with insulin and help improve adherence, which can be a concern. However, their considerably higher costs have impacted on their funding and use, especially in countries with affordability issues. Biosimilars can help reduce the costs of long-acting insulin analogues thereby increasing available choices. However, the availability and use of long-acting insulin analogues can be affected by limited price reductions versus originators and limited demand-side initiatives to encourage their use. Consequently, we wanted to assess current utilisation rates for long-acting insulin analogues, especially biosimilars, and the rationale for patterns seen, across multiple Asian countries ranging from Japan (high-income) to Pakistan (lower-income) to inform future strategies.

    METHODOLOGY: Multiple approaches including assessing utilization and prices of insulins including biosimilars among six Asian countries and comparing the findings especially with other middle-income countries.

    RESULTS: Typically, there was increasing use of long-acting insulin analogues among the selected Asian countries. This was especially the case enhanced by biosimilars in Bangladesh, India, and Malaysia reflecting their perceived benefits. However, there was limited use in Pakistan due to issues of affordability similar to a number of African countries. The high use of biosimilars in Bangladesh, India and Malaysia was helped by issues of affordability and local production. The limited use of biosimilars in Japan and Korea reflects limited price reductions and demand-side initiatives similar to a number of European countries.

    CONCLUSIONS: Increasing use of long-acting insulin analogues across countries is welcomed, adding to the range of insulins available, which increasingly includes biosimilars. A number of activities are needed to enhance the use of long-acting insulin analogue biosimilars in Japan, Korea and Pakistan.

    Matched MeSH terms: Insulin
  19. Fatahi S, Nazary-Vannani A, Sohouli MH, Mokhtari Z, Kord-Varkaneh H, Moodi V, et al.
    Crit Rev Food Sci Nutr, 2021;61(20):3383-3394.
    PMID: 32744094 DOI: 10.1080/10408398.2020.1798350
    Inconsistencies exist with regard to influence of fasting and energy-restricting diets on markers of glucose and insulin controls. To address these controversial, this study was conducted to determine the impact of fasting diets on fasting blood sugars (FBSs), insulin, homeostatic model assessment insulin resistance (HOMA-IR) and hemoglobin A1c (HbA1c) levels. A comprehensive systematic search was carried out in electronic databases, i.e., Scopus, PubMed, and Web of Science through June 2019 for RCTs that investigated the impact of fasting and energy-restricting diets on circulating FBS, insulin, HOMA-IR and HbA1c levels from. Weighted mean difference (WMD) with the 95% CI were used for estimating combined effect size. The subgroup analysis was applied to specify the source of heterogeneity among articles. Pooled results from 30 eligible articles with 35 arms demonstrated a significant decrease in FBS (WMD): -3.376 mg/dl, 95% CI: -5.159, -1.594, p insulin (WMD: -1.288 μU/ml, 95% CI: -2.385, -0.191, p = 0.021), HOMA-IR (WMD: -0.41 mg/dl, 95% CI: -0.71, -0.10, p = 0.01) levels following fasting or energy-restricting diets. Nevertheless, no significant changes were observed in serum HbA1c levels. The subgroup analyses showed that overweight or obese people with energy restricting diets and treatment duration >8 weeks had a greater reduction in FBS, insulin and HOMA-IR level compared with other subgroups. The evidence from available studies suggests that the fasting or energy-restricting diets leads to significant reductions in FBS, insulin and HOMA-IR level and has modest, but, non-significant effects on HbA1c levels.
    Matched MeSH terms: Insulin*; Insulin Resistance*
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