Diabetes Insulin Resistance Research Articles

Secondary analysis of newly diagnosed type 2 diabetes subgroups and treatment responses in the MARCH cohort

ObjectiveTo incorporate new clusters in the MARCH (Metformin and AcaRbose in Chinese patients as the initial Hypoglycemic treatment) cohort of newly diagnosed type 2 diabetes (T2D) patients and compare the anti-glycemic effects of metformin and acarbose across different clusters. MethodsK-means cluster analysis was performed based on six clinical indicators. The diabetic clusters in the MARCH cohort were retrospectively associated with the response to metformin and acarbose. ResultsA total of 590 newly diagnosed T2D patients were classified by data-driven clusters into the MARD (mild obesity-related diabetes) (34.1 %), MOD (mild obesity-related diabetes) (34.1 %), SIDD (severe insulin-deficient diabetes) (20.3 %) and SIRD (severe insulin-resistant diabetes) (11.5 %) subgroups at baseline. At 24 and 48 weeks, 346 participants had finished the follow-up. After the adjustment of age, gender, weight, baseline HbA1c, baseline fasting glucose and 2-h postprandial blood glucose (2hPG), metformin mainly decreased the fasting glucose (0.07 ± 0.89 vs −0.26 ± 0.83, P = 0.043) in the MARD subgroup presented with OGTT (oral glucose tolerance test) results compared with acarbose group at 24 weeks. Acarbose led to a greater decrease in 2hPG in the MOD subgroup compared with metformin group (0.08 ± 0.86 vs −0.24 ± 0.92, P = 0.037) at 24 weeks. There was a also significant interaction between cluster and treatment efficacy in HbA1c (glycated hemoglobin) reduction in metformin and acarbose groups at 24 and 48 weeks (pinteraction<0.001). ConclusionsMetformin and acarbose affected different metabolic variables depending on the diabetes subtype.

NK cell-activating receptor NKp46 does not participate in the development of obesity-induced inflammation and insulin resistance

Recent evidence establishes a pivotal role for obesity-induced inflammation in precipitating insulin resistance and type-2 diabetes. Central to this process is the proinflammatory M1 adipose-tissue macrophages (ATMs) in epididymal white adipose tissue (eWAT). Notably, natural killer (NK) cells are a crucial regulator of ATMs since their cytokines induce ATM recruitment and M1 polarization. The importance of NK cells is shown by the strong increase in NK-cell numbers in eWAT, and by studies showing that removing and expanding NK cells respectively improve and worsen obesity-induced insulin resistance. It has been suggested that NK cells are activated by unknown ligands on obesity-stressed adipocytes that bind to NKp46 (encoded by Ncr1), which is an activating NK-cell receptor. This was supported by a study showing that NKp46-knockout mice have improved obesity-induced inflammation/insulin resistance. We therefore planned to use the NKp46-knockout mice to further elucidate the molecular mechanism by which NKp46 mediates eWAT NK-cell activation in obesity. We confirmed that obesity increased eWAT NKp46+ NK-cell numbers and NKp46 expression in wild-type mice and that NKp46-knockout ablated these responses. Unexpectedly, however, NKp46-knockout mice demonstrated insulin resistance similar to wild-type mice, as shown by fasting blood glucose/insulin levels and glucose/insulin tolerance tests.Obesity-induced increases in eWAT ATM numbers and proinflammatory gene expression were also similar. Thus, contrary to previously published results, NKp46 does not regulate obesity-induced insulin resistance. It is therefore unclear whether NKp46 participates in the development of obesity-induced inflammation and insulin resistance. This should be considered when elucidating the obesity-mediated molecular mechanisms that activate NK cells.

Glycated haemoglobin, HOMA2-B, C-peptide to glucose ratio and type 2 diabetes clusters as predictors for therapy failure in individuals with type 2 diabetes without insulin therapy: A registry analysis.

Some people with type 2 diabetes mellitus (T2D) and declining β-cell function do require insulin over time. Various laboratory parameters, indices of glucose metabolism or phenotypes of T2D (clusters) have been suggested, which might predict future therapy failure (TF), indicating the need for insulin therapy initiation. This analysis evaluated glycated haemoglobin (HbA1c), homeostatic model assessment (HOMA)2-B, C-peptide to glucose ratio (CGR) and diabetes clusters as predictive parameters for the occurrence of glycaemic TF in individuals diagnosed with T2D without previous insulin therapy. In total, 159 individuals with T2D [41% female, median age 50 (IQR: 53-69) years, diabetes duration 9 (5-15) years], without insulin therapy were prospectively evaluated for the occurrence of a composite primary endpoint, including HbA1c increasing or remaining >8.0% (64 mmol/mol) 3 months after baseline on non-insulin glucose-lowering agents, insulin initiation or hospital admissions because of acute hyperglycaemic events. Diabetes clusters were formed according to previously described characteristics. Only severe autoimmune diabetes clusters were excluded because of a small amount of glutamate decarboxylase antibody-positive participants. The other clusters were distributed as mild age-related diabetes 33%; severe insulin-deficient diabetes 31%; mild obesity-related diabetes 20%; and severe insulin-resistant diabetes 15%. During a median observation of 57 months, higher tertiles of HbA1c at baseline, HOMA2-B, as well as a lower CGR were significantly predictive for the occurrence of the primary endpoint. The probability of meeting the primary endpoint was the highest for mild obesity-related diabetes [hazard ratio 3.28 (95% confidence interval 1.75-6.2)], followed by severe insulin-deficient diabetes [hazard ratio 2.03 (95% confidence interval 1.1-3.7)], mild age-related diabetes and the lowest for severe insulin-resistant diabetes. The best performance to predict TF with an area under the curve (AUC) of 0.77 was HbA1c at baseline, followed by HOMA2-B (AUC 0.69) and CGR (AUC 0.64). HbA1c, indices of insulin secretion capacity (HOMA2-B and CGR) and T2D clusters might be applicable tools to guide practitioners in the decision of whether insulin is required in people already diagnosed with T2D. These findings need to be validated in prospective studies.

Atrial Septal Defect Device Closure in Patients with Metabolic or Genetic Diseases

Background: The coexistence of a metabolic or genetic disease can complicate the course of an atrial septal defect device closure. Methods: The database of our hospital was searched for patients who had undergone atrial septal defect (ASD) device closure and had concurrent metabolic and genetic diseases. Out of 188 such patients, 11 were identified. Results: This cohort study included 11 patients with type 1 diabetes mellitus, insulin resistance, mitochondrial diseases, rickets, Seckel syndrome, Alagille syndrome, cystic fibrosis, Down syndrome, and Crigler-Najjar syndrome type II. The patients were followed for a median of 4 years. Two patients experienced thromboembolic events. One procedure failed as the device was embolized. Large devices with a waist circumference greater than 1.5 times the body weight were used in 3 patients. One patient died 19 days after the procedure due to multi-organ failure, which was not related to device closure. Conclusions: In patients with metabolic or genetic diseases, this procedure may be complicated by factors such as small patient size, hypercoagulation, organ failure (cardiac, renal, or hepatic), vascular abnormalities, and issues with anesthesia or transesophageal echocardiography. It is recommended that careful attention be given to the specific challenges associated with each disease. The utilization of large devices can be considered safe, particularly in patients beyond 4 years of age.

Role of miR‐802 in brain insulin signaling and its impact on Down syndrome

AbstractBackgroundDown syndrome (DS) individuals are characterized by a variety of pathological phenotypes that manifest with wide variability in the different tissues. At the level of the central nervous system, the accelerated aging phenotype is associated with the risk to develop Alzheimer‐like dementia. A central aspect of neurodegeneration is the close association between metabolic disorders and cognitive decline. Multiple studies have suggested a link between metabolic disorder and microRNAs (miR), small non‐coding RNAs acting as post‐transcriptional regulators of a plethora of genes. Among triplicated miRNAs on chromosome 21, we focus on miR‐802 because recent studies demonstrated its association with development on insulin resistance in obesity and diabetes. Considering these findings and based on the “gene dosage hypothesis” of DS, the goal of the study is to decipher how miR‐802 may contribute to aberrant insulin signaling (IS) and, in parallel to the risk to develop dementia early in life in DS. MethodThe miR‐802 expression, protein levels and activation state of main components of the IS were evaluated (i) in the brain of autoptic cases from DS, DSAD and age‐matched controls and (ii) in the brain of euploid and Ts65Dn mice (a model of DS). Further, using bioinformatic tools we identified miR‐802 predicted target genes that are involved in the IS (PTEN and GSK‐3β).ResultThe IS alterations worsen in the transition from DS to DS/AD and similar findings were collected inTs65Dn mice where IS dysregulation persists with aging where neurodegeneration becomes significant. Intriguingly, these latter changes were driven by the over‐expression of miR‐802, which negatively regulates PTEN and GSK‐3β mRNA in the brain.ConclusionIn this picture, the identification of specific targets modulated by miR‐802 and involved in IS pathway, will provide molecular basis to develop novel therapeutic strategies to prevent/delay the onset of brain insulin resistance in DS.

Combating Metabolic Syndrome through Non-Pharmacological Strategies: A Literature Review

Metabolic syndrome (MetS) represents a constellation of interlinked metabolic abnormalities, encompassing hypertension (HTN), insulin resistance diabetes, obesity, and atherogenic dyslipidemia. It is observed that people suffering from these symptoms of metabolic syndrome are twice as likely to develop cardiovascular diseases (CVDS) and five times more likely to develop Type 2 Diabetes Mellitus (T2DM) during their lifetime. The alarming increase in the incidence of MetS, in population worldwide, has made it an epidemic. In today’s world people are more susceptible to MetS due to their sedentary lifestyle, bad eating habits, and various forms of stress. Knowing the socioeconomic burden of disease of MetS on global health throughout the years has brought attention towards its management and therapeutic approach and rightly so, this has also created the need for new, innovative, and non-traditional methods of managing MetS, as the current available treatments of MetS have limited efficacy. In this review, we highlight the prevalence, definition and also summarize the latest non-traditional therapies of MetS worldwide.

Characteristics of glucolipid metabolism and complications in novel cluster-based diabetes subgroups: a retrospective study

BackgroundGlucolipid metabolism plays an important role in the occurrence and development of diabetes mellitus. However, there is limited research on the characteristics of glucolipid metabolism and complications in different subgroups of newly diagnosed diabetes. This study aimed to investigate the characteristics of glucolipid metabolism and complications in novel cluster-based diabetes subgroups and explore the contributions of different glucolipid metabolism indicators to the occurrence of complications and pancreatic function.MethodsThis retrospective study included 547 newly diagnosed type 2 diabetes patients. Age, body mass index (BMI), glycated hemoglobin (HbA1C), homeostasis model assessment-2 beta-cell function (HOMA2-β), and homeostasis model assessment-2 insulin resistance (HOMA2-IR) were used as clustering variables. The participants were divided into 4 groups by k-means cluster analysis. The characteristics of glucolipid indicators and complications in each subgroup were analyzed. Regression analyses were used to evaluate the impact of glucolipid metabolism indicators on complications and pancreatic function.ResultsTotal cholesterol (TC), triglycerides (TG), triglyceride glucose index (TyG), HbA1C, fasting plasma glucose (FPG), and 2-h postprandial plasma glucose (2hPG) were higher in the severe insulin-resistant diabetes (SIRD) and severe insulin-deficient diabetes (SIDD) groups. Fasting insulin (FINS), fasting C-peptide (FCP), 2-h postprandial insulin (2hINS), 2-h postprandial C-peptide (2hCP), and the monocyte-to-high-density lipoprotein cholesterol ratio (MHR) were higher in mild obesity-related diabetes (MOD) and SIRD. 2hCP, FCP, and FINS were positively correlated with HOMA2-β, while FPG, TyG, HbA1C, and TG were negatively correlated with HOMA2-β. FINS, FPG, FCP, and HbA1C were positively correlated with HOMA2-IR, while high-density lipoprotein (HDL) was negatively correlated with HOMA2-IR. FINS (odds ratio (OR),1.043;95% confidence interval (CI) 1.006 ~ 1.081), FCP (OR,2.881;95%CI 2.041 ~ 4.066), and TyG (OR,1.649;95%CI 1.292 ~ 2.104) contributed to increase the risk of nonalcoholic fatty liver disease (NAFLD); 2hINS (OR,1.015;95%CI 1.008 ~ 1.022) contributed to increase the risk of atherosclerotic cardiovascular disease (ASCVD); FCP (OR,1.297;95%CI 1.027 ~ 1.637) significantly increased the risk of chronic kidney disease (CKD).ConclusionsThere were differences in the characteristics of glucolipid metabolism as well as complications among different subgroups of newly diagnosed type 2 diabetes. 2hCP, FCP, FINS, FPG, TyG, HbA1C, HDL and TG influenced the function of insulin. FINS, TyG, 2hINS, and FCP were associated with ASCVD, NAFLD, and CKD in newly diagnosed T2DM patients.

Mechanism of action of Huangbaichen Sanwei formulation in treating T2DM based on network pharmacology and molecular docking.

Huangbaichen Sanwei formulation (HBCS) has been reported to have a good hypoglycemic effect, but its pharmacological mechanism of action remains unclear. We used network pharmacology and molecular docking to explore the potential mechanism of action of HBCS against type-2 diabetes mellitus (T2DM). Fifty-five active components from HBCS interfered with T2DM. Twenty-five core targets, such as AKT1, INS, INSR, MAPK1 were identified. Enrichment analyses showed that HBCS was involved mainly including insulin receptor signaling pathway, extracellular region, and insulin-like growth factor receptor binding and other biological processes; common targets had roles in treating T2DM by regulating diabetic cardiomyopathy and insulin resistance. Molecular docking verified that components combined with core targets. HBCS play a part in treating T2DM through multiple components and targets at the molecular level, which lays a theoretical foundation for research using HBCS to treat T2DM. The components, predicted targets, and T2DM targets of HBCS were searched through databases, and common targets were determined. Further screening of the core targets was conducted through the establishment of a protein -protein interaction network. The core targets were analyzed by Gene Ontology (GO) annotation utilizing the DAVID platform. And the enrichment of signaling pathways was explored by employing the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Cytoscape 3.9.1 was employed to construct a "TCM-components-core target-pathway" network. Autodock Vina was used to dock molecules to compare the binding activity of active molecules with targets.

Planting a path to kidney health: The vegetarian diet and diabetic nephropathy

Abstract About 40% of people with diabetes experience diabetic nephropathy (DN), which is the main cause of renal problems. The aberrant urine albumin excretion rate, diabetic glomerular lesions, and a reduction in glomerular filtration rate are its defining characteristics. Numerous studies have found a strong link between eating animal protein and conditions like glucagon activation, insulin resistance, proteinuria, microalbuminuria, and the worsening of kidney problems in diabetic individuals. A vegan diet, which forgoes all animal products including leather and other non-edibles like fish, shellfish, and insects as well as dairy, eggs, and honey, has demonstrated significant benefits. It has been connected to enhanced insulin sensitivity, less glucagon activation, a decreased risk of developing chronic kidney disease (CKD), and a slowed rate of DN progression. According to several studies, avoiding animal products and switching to plant-based protein sources can be a better nutritional plan than simply limiting dietary protein. This change may prove very helpful in reducing the risk of kidney and cardiovascular illnesses, especially for those who have diabetes and severe insulin resistance in addition to CKD. A vegan diet contains considerable benefits for those with diabetes and CKD, acting as a brake on the advancement of DN and renal failure, according to the literature evaluation done for this study. Nevertheless, more interventional studies involving humans are needed to elucidate the processes underlying the increased insulin sensitivity brought on by vegan diets. It is also advised to conduct more research to fully explore the effectiveness and security of vegan diets in people with diabetes and DN.

The Negative Impact of Insulin Resistance/Hyperinsulinemia on Chronic Heart Failure and the Potential Benefits of Its Screening and Treatment.

This opinion article highlights the potential alterations caused by insulin resistance and hyperinsulinemia on the cardiovascular system and their negative impact on heart failure (HF), and describes the potential benefits of an early screening with consequent prompt treatment. HF is the final event of several different cardiovascular diseases. Its incidence has been increasing over the last decades because of increased survival from ischemic heart disease thanks to improvements in its treatment (including myocardial revascularization interventions) and the increase in life span. In particular, incidence of HF with preserved ejection fraction (HFpEF) is significantly increasing, and patients with HFpEF often are also affected by diabetes mellitus and insulin resistance (IR), with a prevalence > 45%. Concentric left ventricular (LV) remodeling and diastolic dysfunction are the main structural abnormalities that characterize HFpEF. It is well documented in the literature that IR with chronic hyperinsulinemia, besides causing type 2 diabetes mellitus, can cause numerous cardiovascular alterations, including endothelial dysfunction and increased wall thicknesses of the left ventricle with concentric remodeling and diastolic dysfunction. Therefore, it is conceivable that IR might play a major role in the pathophysiology and the progressive worsening of HF. To date, several substances have been shown to reduce IR/hyperinsulinemia and have beneficial clinical effects in patients with HF, including SGLT2 inhibitors, metformin, and berberine. For this reason, an early screening of IR could be advisable in subjects at risk and in patients with heart failure, to promptly intervene with appropriate therapy. Future studies aimed at comparing the efficacy of the substances used both alone and in association are needed.

Diet-induced diabetes is associated with lower hippocampal glycogen and reduced glycogenolysis following local exogenous insulin.

Brain fuel (specifically, glucose) supply and metabolism are well-established to be limiting factors for cognitive performance, with the largest body of data being for hippocampally mediated tasks. Consistent with this, disease states such as Alzheimer's disease and insulin-resistant diabetes, that impair cognitive metabolism, impair cognition with this being shown again most prominently for hippocampally mediated processes. In addition to glucose supplied from the blood, brain oxidative metabolism can use local glycogen stores (within astrocytes) as a fuel source via conversion to lactate; both lactate and glycogen have been shown to be important contributors to regulation of cognitive metabolism. Insulin has been shown to be a key regulator of hippocampal cognitive and metabolic processes; in the periphery, insulin facilitates glycogen synthesis and storage, but the impact on brain glycogen is unclear. Furthermore, the impact of diet-induced diabetes on hippocampal glycogen levels and/or metabolism is unknown. Here, we show that in rats with high-fat diet-induced diabetes, hippocampal glycogen is reduced and is less responsive to acute intrahippocampal administration of insulin, which significantly reduces glycogen in the hippocampi of control animals: Our data suggest that impaired fuel availability from glycogen may be a contributing factor to the cognitive impairment seen in disease states that include central insulin resistance.

Rates of diabetic retinopathy among cluster analysis—identified type 2 diabetic mellitus subgroups

PurposeTo determine whether phenotypic clustering of patients with diabetes mellitus (DM) is associated with more advanced diabetic retinopathy (DR).MethodsRetrospective cohort study of 495 patients with no prior DR treatment seen at a tertiary care clinic 2014–2020. Four previously identified clusters from Ahlqvist’s 2018 paper were reproduced utilizing baseline hemoglobin A1c, body mass index, and age at DM diagnosis. Age-adjusted Cox proportional hazard ratios were used to compare clusters with reference as the lowest risk cluster.ResultsAll four type 2 DM clusters were replicated with our cohort. There was a significant difference in racial distribution among clusters (p = 0.018) with severe insulin-resistant diabetes (SIRD) having the higher percentage of Caucasians and lower percentage of Hispanics compared to other groups and a higher percentage of African Americans comprising the severe insulin-deficient diabetes (SIDD) cluster than other groups. Rates of proliferative diabetic retinopathy were higher in mild obesity-related diabetes (MOD) (28%), SIDD (24%), mild age-related diabetes (MARD) (20%), and lowest in SIRD (7.9%), overall p = 0.004. Rates of vitreous hemorrhage were higher in MOD (p = 0.032) and MARD (0.005) compared to SIRD.ConclusionBaseline clinical measures may be useful in risk stratifying patients for progression to retinopathy requiring intervention.

Correlates of Skeletal Muscle Mass and Differences Between Novel Subtypes in Recent-Onset Diabetes.

Low skeletal muscle mass (SMM) is associated with long-standing diabetes but little is known about SMM in newly diagnosed diabetes. We aimed to identify correlates of SMM in recent-onset diabetes and to compare SMM between novel diabetes subtypes. SMM was normalized to body mass index (SMM/BMI) in 842 participants with known diabetes duration of less than 1 year from the German Diabetes Study (GDS). Cross-sectional associations between clinical variables, 79 biomarkers of inflammation, and SMM/BMI were assessed, and differences in SMM/BMI between novel diabetes subtypes were analyzed with different degrees of adjustment for confounders. Male sex and physical activity were positively associated with SMM/BMI, whereas associations of age, BMI, glycated hemoglobin A1c, homeostatic model assessment for β-cell function, and estimated glomerular filtration rate with SMM/BMI were inverse (all P < .05; model r2 = 0.82). Twenty-three biomarkers of inflammation showed correlations with SMM/BMI after adjustment for sex and multiple testing (all P < .0006), but BMI largely explained these correlations. In a sex-adjusted analysis, individuals with severe autoimmune diabetes had a higher SMM/BMI whereas individuals with severe insulin-resistant diabetes and mild obesity-related diabetes had a lower SMM/BMI than all other subtypes combined. However, differences were attenuated after adjustment for the clustering variables. SMM/BMI differs between diabetes subtypes and may contribute to subtype differences in disease progression. Of note, clinical variables rather than biomarkers of inflammation explain most of the variation in SMM/BMI.

In vivo retinal imaging is associated with cognitive decline, blood-brain barrier disruption and neuroinflammation in type 2 diabetic mice.

Type 2 diabetes (T2D) is associated with chronic inflammation and neurovascular changes that lead to functional impairment and atrophy in neural-derived tissue. A reduction in retinal thickness is an early indicator of diabetic retinopathy (DR), with progressive loss of neuroglia corresponding to DR severity. The brain undergoes similar pathophysiological events as the retina, which contribute to T2D-related cognitive decline. This study explored the relationship between retinal thinning and cognitive decline in the LepR db/db model of T2D. Diabetic db/db and non-diabetic db/+ mice aged 14 and 28 weeks underwent cognitive testing in short and long-term memory domains and in vivo retinal imaging using optical coherence tomography (OCT), followed by plasma metabolic measures and ex vivo quantification of neuroinflammation, oxidative stress and microvascular leakage. At 28 weeks, mice exhibited retinal thinning in the ganglion cell complex and inner nuclear layer, concomitant with diabetic insulin resistance, memory deficits, increased expression of inflammation markers and cerebrovascular leakage. Interestingly, alterations in retinal thickness at both experimental timepoints were correlated with cognitive decline and elevated immune response in the brain and retina. These results suggest that changes in retinal thickness quantified with in vivo OCT imaging may be an indicator of diabetic cognitive dysfunction and neuroinflammation.

Plant-derived cell-penetrating microprotein α-astratide aM1 targets Akt signaling and alleviates insulin resistance

Insulin-resistant diabetes is a common metabolic disease with serious complications. Treatments directly addressing the underlying molecular mechanisms involving insulin resistance would be desirable. Our laboratory recently identified a proteolytic-resistant cystine-dense microprotein from huáng qí (Astragalus membranaceus) called α-astratide aM1, which shares high sequence homology to leginsulins. Here we show that aM1 is a cell-penetrating insulin mimetic, enters cells by endocytosis, and activates the PI3K/Akt signaling pathway independent of the insulin receptor leading to translocation of glucose transporter GLUT4 to the cell surface to promote glucose uptake. We also showed that aM1 alters gene expression, suppresses lipid synthesis and uptake, and inhibits intracellular lipid accumulation in myotubes and adipocytes. By reducing intracellular lipid accumulation and preventing lipid-induced, PKCθ-mediated degradation of IRS1/2, aM1 restores glucose uptake to overcome insulin resistance. These findings highlight the potential of aM1 as a lead for developing orally bioavailable insulin mimetics to expand options for treating diabetes.

Analysis of multi-disease targeting effect of phytochemicals by AMPK stimulation– diabetes: A computational approach

Diabetes is a silent killer and a metabolic syndrome characterized by hyperglycemia that has been exponentially increasing in recent years. There is a need to develop therapeutic agents to control hyperglycemia and its secondary complications as well as protect and revive beta cells in diabetic patients. The target for first-line diabetes treatment is the adenosine monophosphate protein kinase (AMPK), which participates in cellular energy metabolism through phosphorylation of metabolic enzymes and transcription regulators. This study examined the drug-related properties as well as lead preparation of Catharanthus roseus alkaloids and testing molecular interaction at the AMPK targets to confirm their anti-diabetic effect. A control drug metformin and a library of 85 molecules of C. roseus alkaloids were crossed with the ADMET test, followed by the investigation of molecular interaction tested on AMPK1 and AMPK2 targets through an in silico docking process. Vindolinine (CID: 24148538), vindoline (CID: 425978), (+)-vindorosine (CID: 261578), Cr-1 (CID: 5315746), and Cr-2 (CID: 59908094) had passed the ADMET test. Molecular interaction of the tested C. roseus alkaloids on AMPK1 and AMPK2 targets had potential energy that varied from &amp;minus;7.4 to &amp;minus;5.3 kcal/mol, whereas binding energies of &amp;minus;4.0 kcal/mol for AMPK1-metformin interaction and &amp;minus;4.2 kcal/mol for AMPK2-metformin interaction were observed. The tested C. roseus alkaloids were shown to be more potent activators of AMPK than the control drug. All five biomolecules of C. roseus acted as modulators that have the potential to stimulate AMPK, reduce glucose production, and increase glucose utilization in hepatocytes. In addition, they diminished insulin resistance and secondary complications of diabetes by inhibiting acetyl-CoA carboxylase, regulating cholesterol levels and macrophage, and reviving beta cells in Type 2 diabetes. These results provided the foundation for developing new multi-disease-targeting drugs that can treat diabetes, obesity, cardiovascular disease, cancer, and other diseases by the stimulation of AMPK1 and AMPK2 targets.

Nonalcoholic fatty liver disease. New nomenclature. Review

At the international hepatological congress of the European Association for the Study of the Liver (EASL), which took place in Vienna on June 21 — 24, 2023, a new classification and nomenclature of fatty liver disease was adopted. Leading scientists‑hepatologists proposed to replace the term «non‑alcoholic fatty liver disease» to the term «metabolic dysfunction‑associated steatotic liver disease» (MASLD). This diagnosis is established in patients with confirmed hepatic steatosis and one of the five cardiometabolic risk factors. MetALD is a new category of steatosis defined in patients with MASLD who consume excessive amounts of alcohol per week (140 and 210 g/ week for women and men, respectively). Cryptogenic steatohepatitis is present in patients with an undetermined disease etiology of the disease or without any metabolic risk factors. The concept of «non‑alcoholic steatohepatitis» (NASH) has been changed to the concept of «metabolic dysfunction‑associated steatohepatitis» (MASH). In the 21st century the problem of diagnosis and treatment of non‑alcoholic fatty liver disease has become especially urgent since it occurs in almost 35% of the population of the planet Earth. In industrialized countries, the percentage of the population affected with this disease is 20 to 40%. Approximately 10 — 20% of patients have associated symptoms of NASH. In Western European countries, the prevalence of NASH is 2 — 6%, and in the USA it is as much as 5 — 6% of the total population. MASH is the most common chronic liver disease that does not depend on age or race. This pathology is directly related to obesity, type 2 diabetes mellitus, insulin resistance, hyperlipidemia, and atherosclerosis. NAFLD is diagnosed 3 — 5 times more often in men than in women. Gender differences are related to the fact that body mass index of men is slightly higher than that in women. The fact that men with this disease often consume more alcohol than women, plays a certain role, too.

Data-driven subgroups of newly diagnosed type 2 diabetes and the relationship with cardiovascular diseases at genetic and clinical levels in Chinese adults

BackgroundTo subgroup Chinese patients with newly diagnosed type 2 diabetes (T2D) by K-means cluster analysis on clinical indicators, and to explore whether these subgroups represent different genetic features and calculated cardiovascular risks. MethodsThe K-means clustering analysis was performed on two cohorts (n = 590 and 392), both consisting of Chinese participants with newly diagnosed T2D. To assess genetic risks, multiple polygenic risk scores (PRSs) and mitochondrial DNA copy numbers (mtDNA-CN) were calculated for all participants. Furthermore, Framingham risk scores (FRS) of cardiovascular diseases in two cohorts were also calculated to verify the genetic risks. ResultsFour clusters were identified including the mild age-related diabetes (MARD)(35.08%), mild obesity-related diabetes (MOD) (34.41%), severe autoimmune diabetes (SAID) 19.15%, and severe insulin-resistant diabetes (SIRD) 11.36% subgroups in the MARCH (metformin, and acarbose in Chinese patients as the initial hypoglycemic treatment) cohort. There was a significant difference in PRS for cardiovascular diseases (CVD) across four subgroups in the MARCH cohort (p < 0.05). Compared with the SIDD and SIRD subgroups, patients in the MOD subgroup had a relatively lower PRS for CVD (p < 0.05) in the MARCH cohort. Females had a higher PRS compared to males, with no significant difference in FRS across the four clusters. The MOD subgroup had a significantly lower FRS which was consistent with the results of PRS. Similar results of PRS and FRS were also replicated in the CONFIDENCE (comparison of glycemic control and b-cell function among newly diagnosed patients with type 2 diabetes treated with exenatide, insulin or pioglitazone) cohort. ConclusionThere are different CVD risks in diabetic subgroups based on clinical and genetic evidence which may promote precision medicine.

The progression from mild to severe hyperglycemia coupled with insulin resistance causes mitochondrial dysfunction and alters the metabolic secretome of epithelial kidney cells

Diabetic nephropathy (DN) and insulin resistance (IR) in kidney cells are considered main causes for end-stage renal failure. However, it is unclear how IR affects early stages of the disease. Here, we investigate the impact of mild (11 mM) and severe (22 mM) hyperglycemia, with and without induced IR, on cellular metabolism and mitochondrial bioenergetics in a human kidney cell line (HK-2).IR in HK-2 cells was induced with palmitic acid and cellular cytotoxicity was studied. We evaluated the impact of mild and severe hyperglycemia with and without IR on the metabolic secretome of the cells, their live-cell mitochondria function, mitochondrial membrane potential, and mitochondrial complex activities. Furthermore, we measured fatty acid oxidation and lipid accumulation.Cells cultured under mild hyperglycemic conditions exhibited increased mitochondrial bioenergetic parameters, such as basal respiration, ATP-linked production, maximal respiration capacity, and spare respiration capacity. However, these parameters decreased when cells were cultured under higher glucose concentrations when IR was induced. Our data suggests that progression from mild to severe hyperglycemia induces a metabolic shift, where gluconeogenic amino acids play a crucial role in supplying the energy requirements of HK-2.To our knowledge, this is the first study to evaluate the progression from mild to severe hyperglycemia allied to IR in human kidney cells. This work highlights that this progression leads to mitochondrial dysfunction and alters the metabolic profile of kidney cells. These results identify possible targets for early intervention in DN.

A Novel Gliotransmitter, L-β-Aminoisobutyric Acid, Contributes to Pathophysiology of Clinical Efficacies and Adverse Reactions of Clozapine.

Clozapine is listed as one of the most effective antipsychotics and has been approved for treating treatment-resistant schizophrenia (TRS); however, several type A and B adverse reactions, including weight gain, metabolic complications, cardiotoxicity, convulsions, and discontinuation syndromes, exist. The critical mechanisms of clinical efficacy for schizophrenia, TRS, and adverse reactions of clozapine have not been elucidated. Recently, the GABA isomer L-β-aminoisobutyric acid (L-BAIBA), a protective myokine in the peripheral organs, was identified as a candidate novel transmission modulator in the central nervous system (CNS). L-BAIBA activates adenosine monophosphate-activated protein kinase (AMPK) signalling in both the peripheral organs and CNS. Activated AMPK signalling in peripheral organs is an established major target for treating insulin-resistant diabetes, whereas activated AMPK signalling in the hypothalamus contributes to the pathophysiology of weight gain and metabolic disturbances. Clozapine increases L-BAIBA synthesis in the hypothalamus. In addition, the various functions of L-BAIBA in the CNS have recently been elucidated, including as an activator of GABA-B and group-III metabotropic glutamate (III-mGlu) receptors. Considering the expressions of GABA-B and III-mGlu receptors (localised in the presynaptic regions), the activation of GABA-B and III-mGlu receptors can explain the distinct therapeutic advantages of clozapine in schizophrenia or TRS associated with N-methyl-D-aspartate (NMDA) receptor disturbance compared with other atypical antipsychotics via the inhibition of the persistent tonic hyperactivation of thalamocortical glutamatergic transmission in the prefrontal cortex. L-BAIBA has also been identified as a gliotransmitter, and a detailed exploration of the function of L-BAIBA in tripartite synaptic transmission can further elucidate the pathophysiology of effectiveness for treating TRS and/or specific adverse reactions of clozapine.