Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9th edition

Diabetic peripheral neuropathy and neuromodulation techniques: a systematic review of progress and prospects

Neuromodulation for diabetic peripheral neuropathy represents a significant area of interest in the management of chronic pain associated with this condition. Diabetic peripheral neuropathy, a common complication of diabetes, is characterized by nerve damage due to high blood sugar levels that lead to symptoms, such as pain, tingling, and numbness, primarily in the hands and feet. The aim of this systematic review was to evaluate the efficacy of neuromodulatory techniques as potential therapeutic interventions for patients with diabetic peripheral neuropathy, while also examining recent developments in this domain. The investigation encompassed an array of neuromodulation methods, including frequency rhythmic electrical modulated systems, dorsal root ganglion stimulation, and spinal cord stimulation. This systematic review suggests that neuromodulatory techniques may be useful in the treatment of diabetic peripheral neuropathy. Understanding the advantages of these treatments will enable physicians and other healthcare providers to offer additional options for patients with symptoms refractory to standard pharmacologic treatments. Through these efforts, we may improve quality of life and increase functional capacity in patients suffering from complications related to diabetic neuropathy.

Emerging role of PES1 in disease: A promising therapeutic target?

Pescadillo ribosomal biogenesis factor 1 (PES1), a nucleolar protein initially identified in zebrafish, plays an important role in embryonic development and ribosomal biogenesis. Notably, PES1 has been found to be overexpressed in a number of cancer types, where it contributes to tumorigenesis and cancer progression by promoting cell proliferation, suppressing cellular senescence, modulating the tumor microenvironment (TME) and promoting drug resistance in cancer cells. Moreover, recent emerging evidence suggests that PES1 expression is significantly elevated in the livers of Type 2 diabetes mellitus (T2DM) and obese patients, indicating its involvement in the pathogenesis of metabolic diseases through lipid metabolism regulation. In this review, we present the structural characteristics and biological functions of PES1, as well as complexes in which PES1 participates. Furthermore, we comprehensively summarize the multifaceted role of PES1 in various diseases and the latest insights into its underlying molecular mechanisms. Finally, we discuss the potential clinical translational perspectives of targeting PES1, highlighting its promising as a therapeutic intervention and treatment target.

Using chondroitin sulfate lithium hydrogel for diabetic bone regeneration via regulation of macrophage polarization

Bone regeneration in a diabetic environment remains a clinical challenge because of the proinflammatory microenvironment and malfunction of osteogenesis. Traditional therapy for bone defects doesn't work out in diabetes. Therefore, we introduced lithium (Li) into chondroitin sulfate (CS) and developed a crosslinked hydrogel composed of gelatin methacryloyl (GelMA) and chondroitin sulfate lithium (CS-Li) which could release Li in a sustained manner. This crosslinked hydrogel has a porous microstructure, excellent biocompatibility, and osteogenesis properties. With the synergetic effects of CS and Li, this crosslinked hydrogel regulates macrophage polarization to anti-inflammatory phenotype in the high glucose microenvironment and alleviates the inhibition of angiogenesis and osteogenesis caused by diabetes both in vitro and in vivo. The relationship between macrophage polarization and the promotion of angiogenesis and osteogenesis in diabetic microenvironments may be attributed to the activation of Glycogen synthase kinase-3β/β-catenin pathways. Overall, significant results in this study present that CS-Li was a potential therapy for bone defects in diabetic patients.

The contextual awareness, response and evaluation (CARE) diabetes project: study design for a quantitative survey of diabetes prevalence and non-communicable disease risk in Ga Mashie, Accra, Ghana

Diabetes is estimated to affect between 3.3% and 8.3% of adults in Ghana, and prevalence is expected to rise. The lack of cost-effective diabetes prevention programmes designed specifically for the Ghanaian population warrants urgent attention. The Contextual Awareness, Response and Evaluation (CARE): Diabetes Project in Ghana is a mixed methods study that aims to understand diabetes in the Ga Mashie area of Accra, identify opportunities for community-based intervention and inform future diabetes prevention and control strategies. This paper presents the study design for the quantitative survey within the CARE project. This survey will take place in the densely populated Ga Mashie area of Accra, Ghana. A household survey will be conducted using simple random sampling to select households from 80 enumeration areas identified in the 2021 Ghana Population and Housing Census. Trained enumerators will interview and collect data from permanent residents aged ≥ 25 years. Pregnant women and those who have given birth in the last six months will be excluded. Data analysis will use a combination of descriptive and inferential statistics, and all analyses will account for the cluster sampling design. Analyses will describe the prevalence of diabetes, other morbidities, and associated risk factors and identify the relationship between diabetes and physical, social, and behavioural parameters. This survey will generate evidence on drivers and consequences of diabetes and facilitate efforts to prevent and control diabetes and other NCDs in urban Ghana, with relevance for other low-income communities.

Contextual awareness, response and evaluation (CARE) of diabetes in poor urban communities in Ghana: the CARE diabetes project qualitative study protocol

Diabetes remains a major, global clinical and public health threat with consistent rises in prevalence around the world over the past four decades. Two-thirds of the projected increases in global diabetes prevalence to 2045 are expected to come from low- and middle-income countries, including those in sub-Saharan Africa. Ghana is typical of this trend. However, there are gaps in evidence regarding the appropriate development of interventions and well-targeted policies for diabetes prevention and treatment that pay due attention to relevant local conditions and influences. Due consideration to community perspectives of environmental influences on the causes of diabetes, access to appropriate health services and care seeking for diabetes prevention and management is warranted, especially in urban settings. The 'Contextual Awareness, Response and Evaluation (CARE): Diabetes in Ghana' project is a mixed methods study in Ga Mashie, Accra. An epidemiological survey is described elsewhere. Six qualitative studies utilising a range of methodologies are proposed in this protocol to generate a contextual understanding of type 2 diabetes mellitus in an urban poor population. They focus on community, care provider, and policy stakeholder perspectives with a focus on food markets and environmental influences, the demand and supply of health services, and the history of the Ga Mashie community and its inhabitants. The results will be shared with the community in Ga Mashie and with health policy stakeholders in Ghana and other settings where the findings may be usefully transferable for the development of community-based interventions for diabetes prevention and control.

Analysis of genetic association of vitamin D receptor (VDR) gene FokI polymorphism in Bangladeshi patients with type 2 diabetes mellitus

AIMS

Type 2 diabetes mellitus (T2DM) is a complex and multifaceted disease that contributes significantly to Bangladesh's disease burden. Both polygene abnormalities and environmental factors contribute to this genetic condition. Vitamin D receptor (VDR) has immunomodulatory functions that may contribute to the developmentof type 2 diabetes. This investigation examined the association between the vitamin D receptor gene (rs2228570) FokI polymorphism and genetic susceptibility to T2DM in the Bangladeshi population.

METHODS

A total of 203 subjects (108 clinically identified T2DM patients and 95 healthy controls) participated in this research study with the ethical committee's approval. Genomic DNA was isolated from venous blood collected from the volunteers with prior consent. Extracted DNA was then genotyped for single nucleotide polymorphism (SNPs) for VDR (rs2228570) FokI gene by PCR-RFLP analysis, where the genotypes were assessed by agarose gel electrophoresis.

RESULTS

Genotype distribution for VDR (rs2228570) FokI polymorphism exhibited a significant difference between T2DM patients and the control group, whereas allele frequencies for both genes did not differ evidently between the patient and control group.

CONCLUSIONS

Our finding demonstrates a possible link between the risk of T2DM and the FokI polymorphism of the VDR (rs2228570) gene.

Tannins-enriched fraction of TeMac™ protects against aluminum chloride induced Alzheimer's disease-like pathology by modulating aberrant insulin resistance and alleviating oxidative stress in diabetic rats

ETHNOPHARMACOLOGICAL RELEVANCE

Alzheimer's disease is the most common neurodegenerative disease with therapeutic limitations. Insulin resistance plays a role in the progression of Alzheimer's disease. Therapies that modulate insulin secretion and signaling, as well as oxidative stress in the brain are now being investigated for their potential role in the prevention of Alzheimer's disease (AD). Terminalia macroptera (Combretaceae) is a plant that different parts have been used traditionally for the treatment of metabolic and neurological conditions. Previous study has indicated that the crude extract exhibit anti-diabetic property. In addition, the plant is a rich source of tannins, phenolic acids, flavonoids, triterpenes. However, there is no study on its protective effect against biochemical alterations of AD in diabetic rats.

AIM OF THE STUDY

The present research study investigated the neuroprotective effects of TeMac™ on Alzheimer-like pathology induced by aluminum chloride (AlCl3) in diabetic rats.

METHODS

A phytochemical analysis of TeMac™ was carried out to quantify tannins. The potential effect of the tannins-enriched fraction (TEF) of TeMac™ to prevent the formation of senile plaques was conducted by its ability to inhibit the activities of β-secretase (EC 3.4.23.46), monoamine oxidase A (EC 1.4.3.4) and the fibrillation of Aβ. A diabetic model was induced from female Wistar rats by a single intraperitoneal injection of streptozotocin (STZ, 35 mg/kg BW). After that, the blood glucose level was measured to confirm the induction of diabetes. Three days after induction, animals received AlCl3 (75 mg/kg BW) alone (AD control) or concomitantly with 400 mg/kg BW of TEF of TeMac™ or 5 mg/kg BW Daonil by daily gavage for 42 days. At the end of the experiment, rats were sacrificed, blood and brains were collected. The levels of amyloid fibrils, glucose, albumin and the activities of DPP4, β-secretase and phosphatase, and markers of oxidative stress in the brain were assessed.

RESULTS

TEF of TeMac™ displays a potential ability to inhibit the activities of β-secretase, monoamine oxidase, and Aβ fibrillation. Treatment with TEF of TeMac™ significantly inhibited DPP4 and BACE1 activities and reduced brain glucose and amyloid fibril levels, and improved cerebral albumin levels and modulated oxidative stress markers.

CONCLUSION

Our findings indicate that TEF of TeMac™ prevents Alzheimer's-type pathology linked to insulin resistance in rats. TEF of TeMac™ may be a potential drug candidate for the treatment of diabetes-associated cognitive impairment.

Cost-effectiveness of sodium-glucose cotransporter-2 inhibitors in the treatment of diabetic nephropathy in Japan

AIM

To assess the cost-effectiveness of diabetic nephropathy treatment with sodium-glucose cotransporter-2 (SGLT2) inhibitors in Japanese clinical practice, considering diabetes-related complications.

MATERIALS AND METHODS

A population-based Monte Carlo simulation was used to estimate the cost-effectiveness for people with diabetic nephropathy who initiated pharmacotherapy with an SGLT2 inhibitor plus conventional treatment or conventional treatment alone, based on quality-adjusted life-years (QALYs) and healthcare costs. The Canagliflozin and Renal Events in Diabetes with Established Nephropathy Clinical Evaluation study (CREDENCE) and the Japanese Society for Dialysis Research statistical survey were the primary sources of probability and mortality, while Japanese Health Insurance Claims Data were the cost source. The state transition model included diabetic nephropathy, hospitalization due to cardiovascular disease, dialysis, and death. One-way and probabilistic sensitivity analyses were used to explore model uncertainty.

RESULTS

Using the threshold of JPY 5 000 000 per QALY, SGLT2 inhibitor plus conventional treatment was more cost-effective than conventional treatment alone, with an incremental cost-effectiveness ratio of JPY 654 309 per QALY. Treating 100 000 people, SGLT2 inhibitor plus conventional treatment prevented 2234 deaths and reduced 5793 fewer heart failure cases, 3967 fewer myocardial infarctions and stroke events. Sensitivity analysis affirmed the robustness of these results for patients aged under 70 years.

CONCLUSIONS

The SGLT2 inhibitor treatment appeared to be cost-effective for the overall population of our study and particularly for younger patients (<70 years old). For older patients (≥70 years old), the cost-effectiveness was less clear and may require further evaluation. Decision-makers should consider this age-based heterogeneity when making recommendations about SGLT2 inhibitor treatment.

A lower eGFRcystatin C/eGFRcreatinine ratio is associated with greater cardiovascular risk (higher Framingham Risk Score) in Chinese patients with newly diagnosed type 2 diabetes mellitus

BACKGROUND

Cardiovascular disease (CVD) is the leading cause of mortality in type 2 diabetes mellitus (T2DM) patients. Shrunken pore syndrome (SPS) is defined as eGFRcystatin C/eGFRcreatinine ratio <0.70 and predicts high CVD mortality. The Framingham Risk Score (FRS) is used to estimate an individual's 10-year CVD risk. This study investigated the association between FRS and eGFRcystatin C/eGFRcreatinine ratio in T2DM patients.

METHODS

Patients aged 18-80 years who were newly diagnosed with T2DM were included in this retrospective study. Ordinal logistic regression analysis was used to investigate the association between risk factors of T2DM and FRS. A Generalized Linear Model was used to calculate odds ratios (OR) and 95% confidence intervals (CI).

RESULTS

There were 270 patients included in the study. Only 27 patients (10%) met the diagnostic criteria of SPS. Ordinal logistic regression analysis showed that SPS was not correlated with FRS risk (OR = 1.99, 95%CI = 0.94-4.23, p = 0.07), whereas eGFRcystatin C/eGFRcreatinine (OR = 0.86, 95%CI = 0.77-0.97, p = 0.01) showed a significant negative association with FRS risk. Compared with eGFRcystatin C/eGFRcreatinine>0.85, eGFRcystatin C/eGFRcreatinine≤0.85 increased FRS risk (OR = 1.95, 95%CI = 1.18-3.21, p < 0.01). After adjustment for confounding factors, increased eGFRcystatin C/eGFRcreatinine ratio was associated with decreased FRS risk when considered as a continuous variable (OR = 0.87, 95%CI = 0.77-0.99, p = 0.03). The FRS risk in patients with eGFRcystatin C/eGFRcreatinine≤0.85 is 1.86 times higher than that in patients with eGFRcystatin C/eGFRcreatinine>0.85 (OR = 1.86, 95%CI = 1.08-3.21, p = 0.03).

CONCLUSIONS

In the current study, no significant association between SPS and FRS was identified. However, lower eGFRcystatin C/eGFRcreatinine and eGFRcystatin C/eGFRcreatinine≤0.85 were associated with a significantly increased CVD risk in T2DM.

Cardioprotective effects of liposomal resveratrol in diabetic rats: unveiling antioxidant and anti-inflammatory benefits

As a consequence of chronic hyperglycemia, diabetes complications and tissue damage are exacerbated. There is evidence that natural phytochemicals, including resveratrol, a bioactive polyphenol, may be able to reduce oxidative stress and improve insulin sensitivity. However, resveratrol's limited bioavailability hampers its therapeutic effectiveness. By using liposomes, resveratrol may be better delivered into the body and be more bioavailable. The objective of this study was to assess the cardioprotective potential of liposome-encapsulated resveratrol (LR) in a streptozotocin-induced (STZ) diabetic rat model. Adult male Wistar rats were categorized into five groups: control, diabetic, resveratrol-treated (40 mg/kg), liposomal resveratrol (LR)-treated (20 mg/kg) and liposomal resveratrol (LR)-treated (40 mg/kg) for a five-week study period. We compared the effects of LR to those of resveratrol (40 mg/kg) on various parameters, including serum levels of cardiac markers, tissue levels of pro-inflammatory cytokines, nuclear transcription factor, oxidative stress markers, and apoptotic markers. LR treatment in STZ-diabetic rats resulted in notable physiological improvements, including blood glucose regulation, inflammation reduction, oxidative stress mitigation, and apoptosis inhibition. LR effectively lowered oxidative stress and enhanced cardiovascular function. It also demonstrated a remarkable ability to suppress NF-kB-mediated inflammation by inhibiting the pro-inflammatory cytokines TNF-α and IL-6. Additionally, LR restored the antioxidant enzymes, catalase and glutathione peroxidase, thereby effectively counteracting oxidative stress. Notably, LR modulated apoptotic regulators, including caspase, Bcl2, and Bax, suggesting a role in regulating programmed cell death. These biochemical alterations were consistent with improved structural integrity of cardiac tissue as revealed by histological examination. In comparison, resveratrol exhibited lower efficacy at an equivalent dosage. Liposomal resveratrol shows promise in alleviating hyperglycemia-induced cardiac damage in diabetes. Further research is warranted to explore its potential as a therapeutic agent for diabetic cardiovascular complications and possible cardioprotective effects.

pH responsive fabrication of PVA-stabilized selenium nano formulation encapsulated with luteolin to reduce diabetic ureteral injury by decreasing NLRP3 inflammasome via Nrf2/ARE signaling

Diabetic ureteral injury (DUI) is a condition characterized by damage to the ureter, causing functional and morphological changes in the urinary system, which have a significant impact on a quality of life and requires appropriate medical treatment. The present study describes to novel design of luteolin (LT), a type of natural flavonoid, encapsulated selenium nanoparticles (Se NPs) to attain therapeutic potential for DUI. The physico-chemical characterizations of prepared Se NPs have benefitted zeta potential (-18 mV) and particle size (10-50 nm). In vitro assays were demonstrated the potential of LT-SeNPs by HEK 293 cells stimulated by STZ for DUI. Cytotoxicity assays on HEK 293 and NIH-3T3 showed >90% cell viability, which demonstrates the suitability of the nanoformulation for DUI treatment. The LT-SeNPs significantly inhibits the NLRP3 inflammasome through Nrf2/ARE pathway, which benefits for DUI treatment. The developed LT-SeNPs could be an effective formulation for the DUI therapy.

Functional chia (Salvia hispanica L.) co-product protein hydrolysate: An analysis of biochemical, antidiabetic, antioxidant potential and physicochemical properties

Protein hydrolysates with antioxidant potential have been reported to act as adjuvants in preventing and treating type-2 diabetes (T2D). This work investigated the biochemical, antidiabetic, antioxidant potential, and physicochemical properties of chia meal protein hydrolysate (CMPH). Bands smaller than 14 kDa were observed in the electrophoretic profile. The predominant amino acids were hydrophobic and aromatic. CMPH had the potential to inhibit α-amylase (IC50: 1.76 ± 0.13 mg/mL), α-glucosidase (IC50: 0.42 ± 0.13 mg/mL), and DPP-IV (IC50: 0.46 ± 0.14 mg/mL). Antioxidant activity for ABTS (IC50: 0.236 mg/mL), DPPH (8.83 ± 0.52%), and ORAC (IC25: 0.115 mg/mL). Against chia meal protein isolate (CMPI), CMPH has a broad solubility (pH 2-12.46). Particle size (624.5 ± 247.3 nm), low PDI (0.22 ± 0.06), ζ-potential (-31.1 ± 2.5 mV), and surface hydrophobicity (11,183.33 ± 2024.11) and the intrinsic fluorescence peak of CMPH was lower than that of CMPI. CMPH represents an alternative to add value to the agri-food co-product of the chia seed oil industry, generating food ingredients with outstanding antidiabetic and antioxidant potential.

Discovering novel Cathepsin L inhibitors from natural products using artificial intelligence

Cathepsin L (CTSL) is a promising therapeutic target for metabolic disorders. Current pharmacological interventions targeting CTSL have demonstrated potential in reducing body weight gain, serum insulin levels, and improving glucose tolerance. However, the clinical application of CTSL inhibitors remains limited. In this study, we used a combination of artificial intelligence and experimental methods to identify new CTSL inhibitors from natural products. Through a robust deep learning model and molecular docking, we screened 150 molecules from natural products for experimental validation. At a concentration of 100 µM, we found that 36 of them exhibited more than 50 % inhibition of CTSL. Notably, 13 molecules displayed over 90 % inhibition and exhibiting concentration-dependent effects. The molecular dynamics simulation on the two most potent inhibitors, Plumbagin and Beta-Lapachone, demonstrated stable interaction at the CTSL active site. Enzyme kinetics studies have shown that these inhibitors exert an uncompetitive inhibitory effect on CTSL. In conclusion, our research identifies Plumbagin and Beta-Lapachone as potential CTSL inhibitors, offering promising candidates for the treatment of metabolic disorders and illustrating the effectiveness of artificial intelligence in drug discovery.

Therapeutic potential of bark extracts from Macaranga denticulata on renal fibrosis in streptozotocin-induced diabetic rats

Macaranga denticulata (MD) bark is commonly utilized in traditional medicine for diabetes prevention and treatment. The bark extract of MD is rich in prenyl or farnesyl flavonoids and stilbenes, which possess antioxidant properties. Although data suggest the potential therapeutic benefits of the use of MD in treating diabetic nephropathy (DN), the precise mechanisms underlying MD-initiated protective effects against DN are not well understood. This study aimed to assess the renoprotective properties of MD extract by examining renofibrosis inhibition, oxidative stress, and inflammation utilizing streptozotocin-induced DN male Sprague - Dawley rats. Diabetic rats were intraperitoneally injected with streptozotocin (STZ) to induce diabetes. After 6 days, these rats were orally administered MD extract (200 mg/kg/day) or metformin (200 mg/kg/day) for 14 days. The administration of MD extract significantly lowered blood glucose levels, restored body weight, and reduced urine levels of various biomarkers associated with kidney functions. Histopathological analysis revealed protective effects in both kidneys and pancreas. Further, MD extract significantly restored abnormalities in advanced glycation end products, oxidative stress biomarkers, and proinflammatory cytokine levels in STZ-treated rats. MD extract markedly reduced renal fibrosis biomarker levels, indicating recovery from renal injury, and reversed dysregulation of sirtuins and claudin-1 in the kidneys of rats with STZ-induced diabetes. In conclusion, data demonstrated the renoprotective role of MD extract, indicating plant extract's ability to suppress oxidative stress and regulate proinflammatory pathways during pathological changes in diabetic nephropathy.

Comparative efficacy and safety of Chinese patent medicines as an adjunctive therapy for diabetic peripheral neuropathy: systematic review and network meta-analysis of randomized controlled trials

CONTEXT

Diabetic peripheral neuropathy (DPN) is the most common complication of diabetes mellitus. Chinese patent medicines (CPMs) are widely used in clinical practice to treat DPN.

OBJECTIVE

This study aims to summarize the latest evidence on the harms and benefits of CPMs as adjunctive therapy for DPN.

MATERIALS AND METHODS

We conducted searches for randomized controlled trials (RCTs) evaluating CPMs in conjunction with mecobalamin (Mec) or alpha-lipoic acid (αLA) across eight databases up to July 2024. The surface under the cumulative ranking area (SUCRA) was utilized to assess the clinical efficacy rate (CER), the peroneal motor nerve conduction velocity (pMNCV), the peroneal sensory nerve conduction velocity (pSNCV), the median motor nerve conduction velocity (mMNCV), and the median sensory nerve conduction velocity (mSNCV).

RESULTS

The search yielded 128 eligible studies with 31 CPMs with Mec and 39 eligible studies with 17 CPMs with αLA. SUCRA rankings indicated that, when combined with Mec, Mailuoning liquid (lMLN) was the most effective regimen for CER, Honghua injection (iHH) for pMNCV, Maixuekang capsule (cMXK) for pSNCV, Dengzhanxixin injection (iDZXX) for mMNCV, and Tongxinluo capsule (cTXL) for mSNCV. Combined with αLA, Danhong injection (iDH) showed the highest efficacy for CER, pSNCV, and mSNCV, while Xueshuantong injection (iXShT) was the most effective for pMNCV and mMNCV.

CONCLUSION

This network meta-analysis confirms the efficacy and safety of 37 CPMs combined with Mec or αLA for treating DPN. However, given the potential risk of bias and the very low certainty of the evidence, these recommendations should be adopted with caution.

Integrin subunit beta 6 is a potential diagnostic marker for acute kidney injury in patients with diabetic kidney disease: a single cell sequencing data analysis

BACKGROUND

Diabetic kidney disease (DKD), a prevalent complication of diabetes mellitus, is often associated with acute kidney injury (AKI). Thus, the development of preventive and therapeutic strategies is crucial for delaying the progression of AKI and DKD.

METHODS

The GSE183276 dataset, comprising the data of 20 healthy controls and 12 patients with AKI, was downloaded from the Gene Expression Omnibus (GEO) database to analyze the AKI group. For analyzing the DKD group, the GSE131822 dataset, comprising the data of 3 healthy controls and 3 patients with DKD, was downloaded from the GEO database. The common differentially expressed genes (DEGs) in renal tubular epithelial cells (TECs) were subjected to enrichment analyses. Next, a protein-protein interaction (PPI) network was constructed using the Search Tool for the Retrieval of Interacting Genes database to analyze gene-related regulatory networks. Finally, the AKI animal models and the DKD and AKI cell models were established, and the reliability of the identified genes was validated using quantitative real-time polymerase chain reaction analysis.

RESULTS

Functional analysis was performed with 40 common DEGs in TECs. Eight hub genes were identified using the PPI and gene-related networks. Finally, validation experiments with the in vivo animal model and the in vitro cellular model revealed the four common DEGs. Four DEGs that share molecular mechanisms in the pathogenesis of DKD and AKI were identified. In particular, the expression of Integrin Subunit Beta 6(ITGB6), a hub and commonly upregulated gene, was upregulated in the in vitro models.

CONCLUSION

ITGB6 may serve as a biomarker for early AKI diagnosis in patients with DKD and as a target for early intervention therapies.

The impact of botanical fermented foods on metabolic syndrome and type 2 diabetes: a systematic review of randomised controlled trials

Our systematic review assessed the impact of botanical fermented food (BFF) consumption on glucose, lipid, anthropometric, inflammatory and gut microbiota parameters, in adults with metabolic syndrome (MetS), MetS components or type 2 diabetes mellitus (T2DM). Embase, MEDLINE, Cochrane CENTRAL and Google Scholar were searched with no language limits, from inception to 31 August 2022, for eligible randomised controlled trials (RCTs). Two independent reviewers screened 6873 abstracts and extracted relevant data. Risk of bias (ROB) was assessed using the Cochrane Collaboration's ROB2 tool. The final review included twenty-six RCTs, with thirty-one reports published between 2001 and 2022. Significant (p < 0·05) within-group and between-group changes in cardiometabolic outcome means were reported in twenty-three and nineteen studies, respectively. Gut microbiota composition was assessed in four studies, with two finding significant between-group differences. No significant difference between groups of any measured outcomes was observed in five studies. There were fourteen studies at low ROB; ten were of some concern; and two were at high ROB. In 73% of included studies, BFF consumption by participants with obesity, MetS or T2DM led to significant between-group improvements in discrete cardiometabolic outcomes, including fasting blood glucose, lipid profile, blood pressure, waist circumference, body fat percentage and C-reactive protein. BFF consumption increased the abundance of beneficial gut bacteria, such as Bifidobacterium and LAB, whilst reducing potential pathogens such as Bacteroides. To determine the clinical significance of BFFs as therapeutic dietary adjuncts, their safety, tolerability and affordability must be balanced with the limited power and magnitude of these preliminary findings.

Starch molecular structure and diabetes

Starch is a primary source of food energy for human beings. Its chain-length distribution (CLD) is a major structural feature influencing physiologically-important properties, such as digestibility and palatability, of starch-containing foods. Diabetes, which is of epidemic proportions in many countries, is related to the rate of starch digestion in foods. Isoforms of three biosynthesis enzymes, starch synthase, starch branching enzymes and debranching enzymes, control the CLDs of starch, which can be measured by methods such as size-exclusion chromatography and fluorophore-assisted carbohydrate electrophoresis. Fitting observed CLDs to biosynthesis-based models based on the ratios of the activities of those isoforms yields biosynthesis-related parameters describing CLD features. This review examines CLD measurement, fitting CLDs to models, relations between CLDs, the occurrence and management of diabetes, and how plant breeders can develop varieties to optimize digestibility and palatability together, to develop starch-based foods with both a lower risk of diabetes and acceptable taste.

Assessing the validity of METS-IR for predicting the future onset of diabetes: an analysis using time-dependent receiver operating characteristics

BACKGROUND

The Metabolic Insulin Resistance Score (METS-IR) is a non-invasive proxy for insulin resistance (IR) that has been newly developed in recent years and has been shown to be associated with diabetes risk. Our aim was to assess the predictive value of METS-IR for the future development of diabetes and its temporal differences in people of different sex, age, and body mass index (BMI).

METHODS

The current study included 15,453 baseline non-diabetic subjects in the NAGALA cohort and then grouped according to the World Health Organization's (WHO) recommended criteria for age and BMI. Multivariate Cox regression and time-dependent receiver operator characteristics (ROC) curves were used to analyze the value of METS-IR in assessing and predicting the risk of diabetes in people of different sexes, ages, and BMIs.

RESULTS

373 individuals developed diabetes during the observation period. By multivariate COX regression analysis, the development of future diabetes was significantly associated with increased METS-IR, and this positive association was stronger in women than in men and in individuals < 45 years than in individuals ≥ 45 years; while no significant differences were observed between non-obese and overweight/obesity individuals. Using time-dependent ROC analysis we also assessed the predictive value of METS-IR for future diabetes at a total of 11-time points between 2 and 12 years. The results showed that METS-IR had a higher predictive value for the future development of diabetes in women or individuals < 45 years of age compared to men or individuals ≥ 45 years of age for almost the entire follow-up period. Furthermore, across different BMI categories, we also found that in the short term (3-5 years), METS-IR had a higher predictive value for the development of diabetes in individuals with overweight/obesity, while in the medium to long term (6-12 years), METS-IR was more accurate in predicting the development of diabetes in non-obese individuals.

CONCLUSIONS

Our study showed that METS-IR was independently associated with the development of future diabetes in a non-diabetic population. METS-IR was a good predictor of diabetes, especially for women and individuals < 45 years old for predicting the future risk of developing diabetes at all times.

Observation of neutrophil extracellular traps in the development of diabetic nephropathy using diabetic murine models

BACKGROUND

Diabetic nephropathy (DN) is a progressive complication among patients with diabetes and the most common cause of end-stage kidney disease. Neutrophil extracellular traps (NETs) are known to play a role in kidney disease, thus this study aimed to determine their role in the development of diabetic kidney disease using diabetic murine models.

RESULTS

Protein and histological analyses revealed that db/db mice and streptozotocin DN models expressed no significant NET-related proteins, myeloperoxidase, citrullinated histone H3 (citH3), neutrophil elastase, and lymphocyte antigen 6 complex locus G6D (Ly6G). However, the inflamed individuals in the DN model showed that citH3 and Ly6G were highly deposited in the renal system based on immunohistochemistry images. In vitro, NET treatment did not induce apoptosis in glomerular endothelial and renal tubular epithelial cells. NET inhibition by DNase administration demonstrated no significant changes in cell apoptosis.

CONCLUSIONS

NET-related proteins were only expressed in the DN model with tubulointerstitial inflammation. Our study revealed that NETs are only induced in mice with hyperglycemia-induced inflammation.

Recent Advances in the Health Benefits of Phenolic Acids in Whole Grains and the Impact of Processing Techniques on Phenolic Acids: A Comprehensive Review

Phenolic acids, essential compounds in whole grains, are renowned for their health-enhancing antioxidant and anti-inflammatory properties. Variations in concentration, particularly of hydroxybenzoic and hydroxycinnamic acids, are observed among grain types. Their antiobesity and antidiabetes effects are linked to their modulation of key signaling pathways like AMPK and PI3K, crucial for metabolic regulation and the body's response to inflammation and oxidative stress. Processing methods significantly influence phenolic acid content and bioavailability in whole grains. Thermal techniques like boiling, baking, or roasting can degrade these compounds, with loss influenced by processing conditions. Nonthermal methods such as germination, fermentation, or their combination, can protect or enhance phenolic acid content under ideal conditions. Novel nonthermal approaches like ultrahigh pressure (UHP), irradiation, and pulsed electric fields (PEF) show promise in preserving these compounds. Further research is needed to fully comprehend the impact mechanisms of these innovative methods on the nutritional and sensory attributes of cereals.

Community beliefs and practices about diabetes and their implications for the prevention and management of diabetes in Southeast Ghana

BACKGROUND

Diabetes is a major public health issue, and over half a billion people are estimated to be living with diabetes, with 6.7 million deaths reported in 2021. The global diabetes burden has been recognised and included in the United Nations Sustainable Development Goals to achieve a zero increase in diabetes cases and reduce one-third of premature diabetes deaths by 2030. However, local beliefs about the causes of diabetes have affected its prevention and management. This study examined community beliefs and practices about diabetes and how they affect the prevention and management of diabetes in the community.

METHODS

This study was carried out in the Ho Municipality of the Volta Region of Ghana. We conducted 33 in-depth interviews with 18 patients with diabetes, 5 carers (caretakers of patients with diabetes), 3 traditional healers, 2 religious leaders, 3 community elders, and 2 assembly members who were purposefully selected from urban and rural areas across the municipality. The interviews were recorded digitally and transcribed verbatim. Thematic analysis was applied to analyse the data using QRS NVivo 20.

RESULTS

Diabetes was described locally as sukli dɔ (sugar disease), which affects humans. Diabetes is believed to be caused by spiritual forces (juju, bewitchment, and punishment from gods) and physical factors (unhealthy diet, physical inactivity, eating fruits and vegetables sprayed with pesticides and insecticides, sugary and starchy foods, smoking, and abuse of alcohol). In terms of the management of diabetes, participants said traditional remedies are performed for spiritual interpretation, deliverance, fortification, and cleansing before biomedical and physical remedies are sought. Diabetes was likened to HIV/AIDS, and the sufferers were described as bringing the condition upon themselves as a result of their bad deeds. They were stigmatised, coupled with delays at the hospital, and poverty has also affected the prevention and management of diabetes.

CONCLUSION

The local belief that diabetes is caused by spiritual forces, likened to HIV/AIDS, delays at hospitals, and poverty, has affected the prevention and management of diabetes. Incorporating local beliefs and practices into the intervention design using culturally sensitive health education programmes and improving social determinants of health may help improve the prevention and management of diabetes in communities.

Lipids balance as a spectroscopy marker of diabetes. Analysis of FTIR spectra by 2D correlation and machine learning analyses

The number of people suffering from type 2 diabetes has rapidly increased. Taking into account, that elevated intracellular lipid concentrations, as well as their metabolism, are correlated with diminished insulin sensitivity, in this study we would like to show lipids spectroscopy markers of diabetes. For this purpose, serum collected from rats (animal model of diabetes) was analyzed using Fourier Transformed Infrared-Attenuated Total Reflection (FTIR-ATR) spectroscopy. Analyzed spectra showed that rats with diabetes presented higher concentration of phospholipids and cholesterol in comparison with non-diabetic rats. Moreover, the analysis of second (IInd) derivative spectra showed no structural changes in lipids. Machine learning methods showed higher accuracy for IInd derivative spectra (from 65 % to 89 %) than for absorbance FTIR spectra (53-65 %). Moreover, it was possible to identify significant wavelength intervals from IInd derivative spectra using random forest-based feature selection algorithm, which further increased the accuracy of the classification (up to 92 % for phospholipid region). Moreover decision tree based on the selected features showed, that peaks at 1016 cm-1 and 2936 cm-1 can be good candidates of lipids marker of diabetes.

GLCCI1 alleviates GRP78-initiated endoplasmic reticulum stress-induced apoptosis of retinal ganglion cells in diabetic retinopathy by upregulating and interacting with HSP90AB1

Retinal ganglion cells (RGCs) are among the first neurons to undergo apoptosis in diabetic retinopathy (DR), with their relationship to endoplasmic reticulum stress (ERS)-induced apoptosis still unclear. While glucocorticoid-induced transcript 1 (GLCCI1) has been shown to inhibit apoptosis, its role in ERS-induced apoptosis and its mechanisms in DR remain unclarified. Our findings indicated that GLCCI1 is predominantly localized in the ganglion cell layer and is downregulated in DR. GLCCI1 overexpression mitigated the apoptosis of RGCs and the swelling of endoplasmic reticulum and mitochondria under hyperglycemia, and downregulated ERS-induced apoptosis related markers (GRP78, CHOP and cleaved CASP3), whereas GLCCI1 knockdown has the opposite effect. In vivo, GLCCI1 overexpression not only prevents structural lesions but also protects against microvascular dysfunctions in the retinas of DR mice. We found that GLCCI1 directly interacts with HSP90AB1, which in turn interacts with GRP78. Additionally, GLCCI1 is an upstream regulator of HSP90AB1, which regulates GRP78. Thus, the impact of GLCCI1 on the ERS-induced apoptosis is mainly through the regulation of HSP90AB1, and subsequently inhibiting GRP78-initiated ERS-induced apoptosis. These findings offer a promising avenue for further treatment of DR.

Efficacy of One Anastomosis Gastric Bypass Versus Sleeve Gastrectomy and Roux-en-Y Gastric Bypass for the Treatment of Type 2 Diabetes Mellitus: a Systematic Review and Meta-Analysis of Randomized Clinical Trials

The worldwide prevalence of type 2 diabetes mellitus (T2DM) is increasing in parallel with obesity. One anastomosis gastric bypass (OAGB) is considered effective to treat both T2DM and obesity. The aim of this study was to evaluate the efficacy of OAGB versus sleeve gastrectomy (SG) and Roux-en-Y gastric bypass (RYGB) for treatment of T2DM, analyzing data exclusively from randomized control trials (RCTs). Α systematic review of published RCTs comparing OAGB versus RYGB or SG (control groups) in T2DM patients regarding diabetes remission and weight loss was performed. Primary endpoints were T2DM remission rate and 1-year and 5-year % weight loss postoperatively. Initial search identified 39 references, of which 8 RCTs were considered eligible for meta-analysis inclusion, comprising 636 patients (311 OAGB, 122 RYGB, 203 SG patients). Main meta-analysis findings were: i) higher 1-year %EWL for OAGB than control group (p = 0.04); ii) higher 5-year %EWL for OAGB than control group (p < 0.01); iii) no difference in 1-year remission rate of T2DM between OAGB and control group (p = 0.14); iv) 28% higher 5-year remission rate of T2DM for OAGB than control group (p < 0.01). OAGB had statistically significant better outcomes compared to RYGB and SG regarding T2DM remission and %EWL at 5 years. Further pathophysiologic studies are needed to indicate the most potent bariatric procedure in patients with T2DM and obesity.

Melatonin alleviates high glucose-induced cardiomyocyte injury through suppressing mitochondrial FUNDC1-DRP1 axis

OBJECTIVES

To use H9c2 cardiomyocytes to establish a diabetic cardiomyopathic model by exposing these cells to high glucose (HG), followed by treating them with melatonin (MEL) or plasmid vectors overexpressing FUN14 Domain Containing 1 (FUNDC1).

METHODS

We employed quantitative real-time PCR, mitochondrial staining, and biochemical assays to measure the activity of various antioxidant and mitochondrial complex functions under various treatment conditions.

KEY FINDINGS

Our results showed that HG induced the expression of FUNDC1 and increased mitochondrial oxidative stress and fragmentation, while MEL treatment reversed most of these pathological effects. Moreover, HG exposure activated dynamin-related protein 1 expression and its translocation to mitochondria. Modulation of AMP-activated protein kinase level was found to be another pathological hallmark. In silico molecular docking, analysis revealed that MEL could directly bind the catalytic groove of FUNDC1 through Van der Waal's force and hydrogen bonding. Finally, MEL ameliorated diabetic cardiomyopathy-induced mitochondrial injury through FUNDC1 in vivo.

CONCLUSIONS

Hyperglycemia induced mitochondrial fragmentation and altered electron transport chain complex functions, which could be ameliorated by MEL treatment, suggesting its potential as a cardiovascular therapeutic.

Increased FT3/FT4 ratio in a certain range is associated with decreased glycemic variability in patients with type 2 diabetes

Thyroid hormone (TH) plays a crucial role in regulating glucose metabolism. However, the potential impact of the FT3/FT4 ratio, which reflects peripheral sensitivity to thyroid hormones, on glycemic variability in patients with type 2 diabetes (T2DM), has not been previously reported. To investigate the correlation between the FT3/FT4 ratio and glycemic variability in individuals with T2DM. In this retrospective analysis, a total of 468 inpatients with T2DM underwent continuous glucose monitoring (CGM) systems for a period of 6-14 days. Baseline clinical characteristics, laboratory tests, and CGM parameters were documented to investigate the correlation between FT3/FT4 ratio and CGM parameters. The levels of HBA, MG, SD, CV, LAGE, MODD and TAR2Scale were all higher in FT3/FT4Q1 compared with FT3/FT4Q2, FT3/FT4Q3 and FT3/FT4Q4 (all P < 0.01). Additionally, TIR was lower in FT3/FT4Q1 compared with the other quartiles (P < 0.01). Smooth curve fitting and saturation effect analysis revealed that there are curve-like relationships between the FT3/FT4 ratio and SD, MAGE, MODD and TAR2Scale. The inflection points of the fitted curves were found to be at FT3/FT4 = 0.279, 0.237, 0.253 and 0.282 respectively (all P < 0.05). Prior to the inflection point, the FT3/FT4 ratio was negatively related to SD, MAGE, MODD and TAR2Scale (all P < 0.05). Furthermore, The FT3/FT4 ratio exhibits a negative linear correlation with HBA and MG, while demonstrating a positive linear relationship with TIR (all P < 0.05). Binary logistic regression demonstrated that the FT3/FT4 ratio was independently related to HBA (P = 0.001), MG (P = 0.01), TAR2Scale (P = 0.003), LAGE (P = 0.014) and MAGE (P < 0.001). The increased FT3/FT4 ratio within a certain range (FT3/FT4 ≤ 0.282) is associated with decreased blood glucose variability and increased TIR. The FT3/FT4 ratio may act as a potential independent protective factor for glycemic fluctuation and glycemic control in patients with T2DM when it increases within a specific range.

Impact of virtual consultations on quality of care in type 2 diabetes: a systematic review and narrative synthesis protocol

BACKGROUND

Around 463 million people globally have diabetes, of which over 90% have type 2 diabetes (T2D). Projections indicate an expected increase to 700 million by 2045. The COVID-19 pandemic accelerated digital health uptake, establishing virtual consultations as a feasible alternative to traditional in-person care. Despite promising preliminary evidence, a comprehensive review is needed to fully assess the impact of virtual consultations on diabetes care. This review aims to systematically evaluate the impact of remote consultations on the quality of care provided to persons with T2D, by mapping impacts against the six quality domains outlined by the National Academy of Medicine (NAM) (ie, patient-centeredness, effectiveness, efficiency, timeliness, equity and safety).

METHODS AND ANALYSIS

PubMed/MEDLINE (Medical Literature Analysis and Retrieval System Online), COCHRANE Library, EMBASE (Excerpta Medica Database), CINAHL (Cumulative Index to Nursing and Allied Health Literature) and Web of Science will be searched for studies published between 2010 and 2024. Primary outcomes will include any quality measures pertaining to the NAM domains for adult patients accessing virtual consultations. The Cochrane Collaboration's tool will be used to assess the quality of the randomised studies, and the Risk of Bias in Non-Randomised Studies of Interventions will be used for non-randomised studies. The findings will be summarised as a narrative synthesis. This systematic review protocol was registered with the International Prospective Register of Systematic Reviews on 15 November 2023 (registration number: CRD42023474219).

ETHICS AND DISSEMINATION

This review will not include primary data and therefore does not require ethical approval. This protocol complies with the Preferred Reporting Items for Systematic Review and Meta-Analyses Protocols guidelines. Findings will be disseminated as academic publications and conference presentations and summarised into patient-led lay summaries.

Epidemiology and Impact of Limb Loss in the United States and Globally

The main causes of limb loss include trauma, complications from diabetes and peripheral arterial disease, malignancy, and congenital limb deficiency. There are significant geographic variations in the incidence of upper and lower, and major and minor limb loss worldwide. Limb loss is costly for patients and the health care system. The availability of orthotic and prosthetic services, along with cost of services, represents barrier to care and contributes to morbidity and mortality. More research is needed, especially in low-income and middle-income countries to describe the extent of limb loss.

Interpretable machine learning models based on shear-wave elastography radiomics for predicting cardiovascular disease in diabetic kidney disease patients

BACKGROUND

The risk of cardiovascular complications is significantly elevated in patients with diabetic kidney disease (DKD). Recognizing the link between the progression of DKD and an increased risk of cardiovascular disease (CVD), it is crucial to focus on the early prediction and management of CVD risk factors among these patients to potentially enhance their health outcomes.

OBJECTIVE

This study sought to bridge the existing gap by developing and validating machine learning (ML) models that utilize clinical data and shear wave elastography (SWE) radiomics features to identify patients at risk of CVD, ultimately aiming to improve the management of DKD.

MATERIALS AND METHODS

This study conducted a retrospective analysis of 586 patients with DKD, dividing them into training and external validation cohorts. We categorized patients based on the presence or absence of CVD. Utilizing SWE imaging, we extracted and standardized radiomics features to develop multiple ML models. These models underwent internal validation using radiomics features alone, clinical data, or a combination thereof. The optimal model was then identified, and its feature importance was assessed through the Shapley Additive Explanations (SHAP) method, before proceeding to external validation.

RESULTS

Among the 586 patients analyzed, 30.7% (180/586) were identified as at risk for CVD. The study pinpointed six significant radiomics features related to CVD, alongside six critical pieces of clinical data. The Support Vector Machine (SVM) model outperformed others in both internal and external validations. Further, SHAP analysis highlighted five principal determinants of CVD risk, comprising three clinical indicators and two SWE radiomics features.

CONCLUSIONS

This study highlights the effectiveness of an SVM model that combines clinical and radiomics features in predicting CVD risk among DKD patients. It enables early prediction of CVD in this patient group, thereby supporting the implementation of timely and suitable interventions.

Metabolic dysfunction-associated steatotic liver disease in patients with type 2 diabetes: risk of heart failure

BACKGROUND AND AIMS

The association between metabolic dysfunction-associated steatotic liver disease (MASLD) and cardiovascular outcomes in patients with type 2 diabetes mellitus (T2DM) is unclear. This study aimed to investigate the impact of spectrum of SLD on the risk of heart failure and cardiovascular (CV) mortality in patients with T2DM.

METHODS

In a nationwide cohort study, 2,745,689 adults with T2DM were followed from 2009 to 2012 until 2018. Participants were categorized into no steatotic liver disease (no SLD) and SLD groups. The SLD group was stratified based on metabolic risk factors, alcohol consumption and viral hepatitis. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for heart failure (HF) and CV mortality risk.

RESULTS

The prevalence of MASLD, metabolic alcohol-associated liver disease (MetALD), alcohol-associated liver disease with metabolic dysfunction (ALD with MD) and MASLD with viral hepatitis (VH) was 49.6%, 7.2%, 2.3%, and 2.0%. Individuals with MASLD (adjusted HR [aHR], 1.11), MetALD (aHR, 1.14), ALD with MD (aHR, 1.32) and MASLD with VH (aHR, 1.12) had a higher risk of developing HF compared with the no SLD group. The risk of CV mortality was also increased in those with SLD groups compared to those with no SLD. The risk of new-onset HF and CV mortality showed a J-shaped association with alcohol consumption regardless of SLD status.

CONCLUSION

SLD is independent risk factor of new-onset HF and CV mortality in persons with T2DM, and alcohol consumption has a J-shaped association with risk of HF and CV mortality, regardless of SLD status.

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 systemic and demographic risk factors with prevalence of retinopathy in US adults with prediabetes

BACKGROUND/OBJECTIVES

To investigate the relative contribution of systemic risk factors to retinopathy in prediabetes using a nationally representative cohort in the US.

SUBJECTS/METHODS

A group of 2098 participants aged ≥40 years with available HbA1c and gradable retinal images from the National Health and Nutrition Examination Survey 2005-2008 were included in this retrospective cross-sectional analysis. Participants were stratified into control, prediabetes, and diabetes groups based on HbA1c and anti-hyperglycaemic medication use. Logistic regression was used to assess the contribution of potential systemic risk factors to retinopathy prevalence.

RESULTS

The prevalence of retinopathy in the prediabetes group was 7.69%. Multivariable logistic regression revealed an inverse association of female sex (OR, 0.25; 95% CI, 0.08-0.74; p = 0.02), eGFR (OR, 0.98; 95% CI, 0.96-1.00; p = 0.04), and fasting glucose levels (OR, 0.92; 95% CI 0.87-0.98; p = 0.02) with retinopathy in individuals with prediabetes and a positive association with a Race/Ethnicity classification of "Other" (OR, 6.05; 95% CI, 1.65-22.1; p = 0.01). Comparison of ORs between groups indicated differential associations of "Other" race, fasting glucose, and C-reactive protein (CRP) with retinopathy in prediabetes compared with diabetes.

CONCLUSIONS

The prevalence of retinopathy among individuals with prediabetes in the NHANES database is similar to other studies. Our findings suggest that nonglycemic metabolic risk factors may be especially relevant to the risk of retinopathy in prediabetes and extend the previously suggested protective effect of female sex on retinopathy in diabetes to prediabetes. The increased odds of retinopathy in underrepresented racial/ethnic groups in the setting of prediabetes also have implications for risk assessment in this population.

Pioneering diabetes screening tool: machine learning driven optical vascular signal analysis

The escalating prevalence of diabetes mellitus underscores the critical need for non-invasive screening tools capable of early disease detection. Present diagnostic techniques depend on invasive procedures, which highlights the need for advancement of non-invasive alternatives for initial disease detection. Machine learning in integration with the optical sensing technology can effectively analyze the signal patterns associated with diabetes. The objective of this research is to develop and evaluate a non-invasive optical-based method combined with machine learning algorithms for the classification of individuals into normal, prediabetic, and diabetic categories. A novel device was engineered to capture real-time optical vascular signals from participants representing the three glycemic states. The signals were then subjected to quality assessment and preprocessing to ensure data reliability. Subsequently, feature extraction was performed using time-domain analysis and wavelet scattering techniques to derive meaningful characteristics from the optical signals. The extracted features were subsequently employed to train and validate a suite of machine learning algorithms. An ensemble bagged trees classifier with wavelet scattering features and random forest classifier with time-domain features demonstrated superior performance, achieving an overall accuracy of 86.6% and 80.0% in differentiating between normal, prediabetic, and diabetic individuals based on the optical vascular signals. The proposed non-invasive optical-based approach, coupled with advanced machine learning techniques, holds promise as a potential screening tool for diabetes mellitus. The classification accuracy achieved in this study warrants further investigation and validation in larger and more diverse populations.

Investigating the research trajectory and future trends of immune disorders in diabetes cardiovascular complications: A bibliometric analysis over the past decade based on big data

INTRODUCTION

Cardiovascular complications of diabetes are a top cause of death in diabetics and often involve immune system problems. Despite numerous studies, there's a shortage of extensive data to advance this field. This study aims to systematically analyze the role of immune dysregulation in these complications using bibliometric methods, to outline the research path and predict future directions.

METHODS

Published from January 1, 2014 to December 31, 2023, 2826 records from the Web of Science Core Collection were analyzed. Collaboration networks, keyword co-occurrences, references, and research hotspots were visualized and analyzed using Microsoft Office Excel 2019, VOSviewer, CiteSpace, and R software.

RESULTS

The number of research papers and citations on this topic has been increasing from 2014 to 2023, with significant contributions from the United States and China. Studies have focused on the effects of oxidative stress, inflammation, metabolism, gut microbiota, and COVID-19 on diabetic heart problems, highlighting the role of immune dysregulation in these diseases.

CONCLUSION

This research provides an overview of immune dysregulation in the cardiovascular complications of diabetes, explores potential treatments including immunomodulation, insulin resistance, and the benefits of vitamin D on cardiovascular disease, and helps advance the field.

Atherosclerotic Risk Factor Prevalence in Adults With Congenital Heart Disease: A Meta-Analysis

Background

The risk of atherosclerotic cardiovascular disease (ASCVD) in adults with congenital heart disease (ACHD) is comparable to that of the general population and is driven by traditional ASCVD risk factors.

Objectives

The aim of the study was to estimate the prevalence of traditional ASCVD risk factors (hypertension, dyslipidemia, diabetes mellitus [DM], obesity, smoking, and physical inactivity) in ACHD and compare it with the general population.

Methods

A systematic literature search was conducted up to May 15, 2024, to identify studies (with or without control group) reporting the prevalence of ASCVD risk factors in ACHD. Meta-analyses were conducted to synthesize the prevalence of risk factors and compare it with that of the general population, where applicable.

Results

We identified 62 studies (30 controlled) encompassing 110,469 ACHD (mean age 39 years; 52% males, 88% with simple/moderate congenital heart disease complexity). Of these, 54% (45%-63%) reported lack of regular exercise, 33% (26%-40%) had hypertension, 18% (14%-22%) were obese, 17% (11%-25%) had dyslipidemia, 12% (9%-14%) were current smokers, and 7% (5%-9%) had DM. The prevalence of ASCVD risk factors was similar in ACHD and controls, with the exception of DM (higher prevalence in ACHD) and smoking (lower prevalence in ACHD). Significant heterogeneity was observed among the included studies, partially explained by differences in age, congenital heart disease complexity, and the presence of cyanosis.

Conclusions

Except for DM and smoking, the prevalence of traditional ASCVD risk factors is similar in ACHD compared to the general population. Further research is needed to determine whether interventions applied in the general population are also effective in ACHD.

Estimation of anti-diabetes drug metformin in Turkiye using wastewater-based epidemiology

Metformin is the most commonly used drug for the treatment of type 2 diabetes (T2D), which is dramatically increasing due to factors such as increasing obesity, physical inactivity, and aging of the population. Metformin analysis was carried out in composite wastewater samples seasonally collected from wastewater treatment plants in 10 cities in 2019 and 2020 30 cities in 2021 in Turkiye. Metformin was measured in all wastewater samples, with an average concentration of 97.81 μg/l in 2019, 75.19 μg/l in 2020, and 69.13 μg/l in 2021. This study was utilized to predict metformin usage in different sociodemographic regions in Turkiye using a wastewater-based epidemiology (WBE) approach. As a result of the analysis, the average metformin consumption in Turkiye was estimated to be 22.2 ± 9.6 [1.9-63.8] g/d/1,000 persons (mean ± SD [range]). Furthermore, these estimates were compared with data for time, sociodemographic characteristics, and patient numbers. Assessing the correlation with estimates and the socioeconomic classes of the cities in question revealed that cities with high-income levels had the lowest metformin use rate. Finally, the study provides supporting data aiding the development of public health strategies for decreasing the overall load of T2D across Turkiye.

Investigation of formation of AGEs precursors, hydroxymethylfurfural and malondialdehyde in oleogel added cakes using an in vitro simulated gastrointestinal digestive system

The baking process has the potential to generate health-risk compounds, including products from lipid oxidation and Maillard reaction. Pre- and post-digestion levels of hydroxymethylfurfural (HMF), malondialdehyde (MDA), glyoxal (GO), and methylglyoxal (MGO) were studied in cakes formulated with hazelnut and sunflower oil, along with their oleogels as margarine substitutes. The concentration of HMF in oil and oleogel-formulated cakes increased after digestion compared to cakes formulated with margarine. The MDA values were between 82 and 120 μg/100 g in oil and oleogel formulated cakes before digestion and a decrease was observed after digestion. The substitution of margarine with oil and oleogels resulted in the production of high amounts of GO and MGO in cakes. However, the highest bioaccessibility as 318.2% was found in cakes formulated by margarine for GO. Oleogels may not pose a potential health benefit compared to margarines due to the formation of HMF, MDA, GO, and MGO.

Risks and benefits of salicylates in food: a narrative review

Salicylates are generally present in plants as part of their defense system against pathogens and environmental stress. Major dietary sources of salicylates were found in spices and herbs, such as curry and paprika (hot powder). Several studies suggest that these natural salicylates offer health benefits in the human body, such as antidiabetic, anticancer, antiviral, and anti-inflammatory properties. However, despite their advantages, salicylates can be harmful to people with allergies, and high doses of salicylates may cause respiratory alkalosis and gastrointestinal bleeding. Additionally, salicylates can interact with certain drugs, such as nonsteroidal anti-inflammatory drugs and warfarin. This narrative review aimed to consolidate recent information on the content of salicylates in food based on the literature, while also highlighting the benefits and risks associated with salicylate consumption in humans. Based on the literature review and analysis of results, it can be concluded that the dietary intake of salicylates in vegetarians can be relatively high, resulting in concentrations of salicylic acid in the blood and urine that are comparable to those observed in patients taking a low dose of aspirin (75 mg). This suggests that a diet rich in salicylates may have potential benefits in preventing and treating some diseases that require low doses of aspirin.

The rs2341471-G/G genotype of activating transcription factor 6 (ATF6) is the risk factor of type 2 diabetes in subjects with obesity or overweight

BACKGROUND

Numerous studies have demonstrated that the onset of type 2 diabetes (T2D) is linked to the reduction in ß-cell mass caused by apoptosis, a process initiated by endoplasmic reticulum (ER) stress. The aim of this study was to investigate the associations between single nucleotide polymorphisms (SNPs) in the ATF6 gene (activating transcription factor 6), a key sensor of ER stress, and T2D susceptibility.

METHODS

The study involved 3229 unrelated individuals, including 1569 patients with T2D and 1660 healthy controls from Central Russia. Four functionally significant intronic SNPs, namely rs931778, rs90559, rs2341471, and rs7517862, were genotyped using the MassARRAY-4 system.

RESULTS

The rs2341471-G/G genotype of ATF6 was found to be associated with an increased risk of T2D (OR = 1.61, 95% CI 1.37-1.90, PFDR < 0.0001). However, a BMI-stratified analysis showed that this genotype and haplotypes CGGA and TAGA are associated with T2D risk exclusively in subjects with obesity or overweight (PFDR < 0.05). Despite these patients being found to have higher consumption of high-carbohydrate and high-calorie diets compared to normal-weight individuals (P < 0.0001), the influence of the rs7517862 polymorphism on T2D risk was observed independently of these dietary habits. Functional SNP annotation revealed the following: (1) the rs2341471-G allele is associated with increased ATF6 expression; (2) the SNP is located in a region exhibiting enhancer activity epigenetically regulated in pancreatic islets; (3) the rs2341471-G was predicted to create binding sites for 18 activating transcription factors that are part of gene-regulatory networks controlling glucose metabolism and maintaining proteostasis.

CONCLUSIONS

The present study revealed, for the first time, a strong association between the rs2341471-G/G ATF6 genotype and an increased risk of type 2 diabetes in people with obesity or overweight, regardless of known dietary risk factors. Further research is needed to support the potential of silencing the ATF6 gene as a means for the treatment and prevention of type 2 diabetes.

Early impaired insulin tolerance among Vietnamese diabetes with or without dyslipidemia

This study aims to evaluate impaired insulin tolerance among Vietnamese diabetes with or without dyslipidemia. Diabetes mellitus (DM) remains the serious global health and social burden that has increased over the past few decades. It progresses silently to vascular injury and disability of injured vascular-perfused tissues/organs. Insulin intolerance and dyslipidemia exacerbate and accelerate the implications of DM. Thus, early detection and more evidence of early insulin intolerance and dyslipidemia is needed for proactive management. This cross-sectional descriptive study recruited 100 healthy control (HC) and 297 DM patients in Military Hospital 103 from 2021 to 2023. Patients with DM were subgrouped into lipid metabolism disorder (LMD, n = 98) and non-LMD (NLMD, n = 99). The biochemists' serum levels were measured automatically and the accuracy of the test result was strictly controlled. Insulin tolerance indices (HOMA2-IR, HOMA2-%S and HOMA2-%B) were compared between HC, DM with or without dyslipidemia as well as correlated with lipid ingredients (total Cholesterol, triglyceride, LDL-C and HDL-C). Among DM patients, HOMA2-IR was significantly high and HOMA2-%S and HOMA2-%B were significantly low. HOMA2-IR was higher and HOMA2-%S and HOMA2-%B were lower in DM with LMD than in DM without LMD. In addition, HOMA2-IR was positively correlated with serum cholesterol, triglyceride and LDL-C concentration, and negatively correlated to HDL-C concentration. In contrast, HOMA2-%S and HOMA2-%B was negatively correlated with serum cholesterol, triglyceride and LDL-C, and positively correlated with HDL-C. Impaired insulin intolerance occurred in early stage of DM, and more serious among DM with LMD, compared to DM with NLMD.

Impact of nocturnal hypoxia on glycaemic control, appetite, gut microbiota and inflammation in adults with type 2 diabetes mellitus: A single-blind cross-over trial

High altitude residents have a lower incidence of type 2 diabetes mellitus (T2DM). Therefore, we examined the effect of repeated overnight normobaric hypoxic exposure on glycaemic control, appetite, gut microbiota and inflammation in adults with T2DM. Thirteen adults with T2DM [glycated haemoglobin (HbA1c): 61.1 ± 14.1 mmol mol-1; aged 64.2 ± 9.4 years; four female] completed a single-blind, randomised, sham-controlled, cross-over study for 10 nights, sleeping when exposed to hypoxia (fractional inspired O2 [F I O 2 ${{F}_{{\mathrm{I}}{{{\mathrm{O}}}_{\mathrm{2}}}}}$ ] = 0.155; ∼2500 m simulated altitude) or normoxic conditions (F I O 2 ${{F}_{{\mathrm{I}}{{{\mathrm{O}}}_{\mathrm{2}}}}}$  = 0.209) in a randomised order. Outcome measures included: fasted plasma [glucose]; [hypoxia inducible factor-1α]; [interleukin-6]; [tumour necrosis factor-α]; [interleukin-10]; [heat shock protein 70]; [butyric acid]; peak plasma [glucose] and insulin sensitivity following a 2 h oral glucose tolerance test; body composition; appetite indices ([leptin], [acyl ghrelin], [peptide YY], [glucagon-like peptide-1]); and gut microbiota diversity and abundance [16S rRNA amplicon sequencing]. During intervention periods, accelerometers measured physical activity, sleep duration and efficiency, whereas continuous glucose monitors were used to assess estimated HbA1c and glucose management indicator and time in target range. Overnight hypoxia was not associated with changes in any outcome measure (P > 0.05 with small effect sizes) except fasting insulin sensitivity and gut microbiota alpha diversity, which exhibited trends (P = 0.10; P = 0.08 respectively) for a medium beneficial effect (d = 0.49; d = 0.59 respectively). Ten nights of overnight moderate hypoxic exposure did not significantly affect glycaemic control, gut microbiome, appetite, or inflammation in adults with T2DM. However, the intervention was well tolerated and a medium effect-size for improved insulin sensitivity and reduced alpha diversity warrants further investigation. KEY POINTS: Living at altitude lowers the incidence of type 2 diabetes mellitus (T2DM). Animal studies suggest that exposure to hypoxia may lead to weight loss and suppressed appetite. In a single-blind, randomised sham-controlled, cross-over trial, we assessed the effects of 10 nights of hypoxia (fractional inspired O2 ∼0.155) on glucose homeostasis, appetite, gut microbiota, inflammatory stress ([interleukin-6]; [tumour necrosis factor-α]; [interleukin-10]) and hypoxic stress ([hypoxia inducible factor 1α]; heat shock protein 70]) in 13 adults with T2DM. Appetite and inflammatory markers were unchanged following hypoxic exposure, but an increased insulin sensitivity and reduced gut microbiota alpha diversity were associated with a medium effect-size and statistical trends, which warrant further investigation using a definitive large randomised controlled trial. Hypoxic exposure may represent a viable therapeutic intervention in people with T2DM and particularly those unable or unwilling to exercise because barriers to uptake and adherence may be lower than for other lifestyle interventions (e.g. diet and exercise).

Serum uric acid to high-density lipoprotein cholesterol ratio is a predictor for all-cause and cardiovascular disease mortality in patients with diabetes: Evidence from NHANES 2005-2018

BACKGROUND AND AIMS

The relationship between uric acid to high-density lipoprotein cholesterol ratio (UHR) and mortality in individuals with diabetes remains uncertain. This study aimed to explore the relationship between serum UHR and all-cause and cardiovascular disease (CVD) mortality in adults with diabetes.

METHODS AND RESULTS

A total of 5,665 patients with diabetes were enrolled from the 2005-2018 National Health and Nutrition Examination Survey (NHANES). Mortality data were determined through the National Death Index (NDI) until December 31, 2019. The multivariate hazard ratio (HR) and 95% confidence interval (CI) were examined by Cox proportional risk modeling and threshold effects analysis. Stratified analyses were conducted to identify the populations with high-risk mortality. Among the participants with diabetes, 1,088 all-cause mortality, containing 310 CVD mortality occurred. Following adjustment for multivariate, higher UHR was significantly and nonlinearly associated with increased all-cause mortality (HR 1.02, 95% CI 1.02-1.02) and CVD mortality (HR 1.03, 95% CI 1.03-1.03). Furthermore, a U-shaped relationship between UHR and all-cause and CVD mortality, with a plateau at 12.57% for all-cause mortality and 9.86% for CVD mortality. Below the inflection points, a higher UHR was associated with a 4% reduced risk for all-cause mortality. Conversely, exceeding the inflection points, a 4% higher risk for all-cause and a 3% higher risk for CVD mortality associated with elevated UHR.

CONCLUSIONS

Nonlinearity of UHR with all-cause and CVD mortality was observed in adults with diabetes in the United States, with thresholds identified at 12.57% for all-cause and 9.86% for CVD mortality respectively.

Metadata information and fundus image fusion neural network for hyperuricemia classification in diabetes

OBJECTIVE

In diabetes mellitus patients, hyperuricemia may lead to the development of diabetic complications, including macrovascular and microvascular dysfunction. However, the level of blood uric acid in diabetic patients is obtained by sampling peripheral blood from the patient, which is an invasive procedure and not conducive to routine monitoring. Therefore, we developed deep learning algorithm to detect noninvasively hyperuricemia from retina photographs and metadata of patients with diabetes and evaluated performance in multiethnic populations and different subgroups.

MATERIALS AND METHODS

To achieve the task of non-invasive detection of hyperuricemia in diabetic patients, given that blood uric acid metabolism is directly related to estimated glomerular filtration rate(eGFR), we first performed a regression task for eGFR value before the classification task for hyperuricemia and reintroduced the eGFR regression values into the baseline information. We trained 3 deep learning models: (1) metadata model adjusted for sex, age, body mass index, duration of diabetes, HbA1c, systolic blood pressure, diastolic blood pressure; (2) image model based on fundus photographs; (3)hybrid model combining image and metadata model. Data from the Shanghai General Hospital Diabetes Management Center (ShDMC) were used to develop (6091 participants with diabetes) and internally validated (using 5-fold cross-validation) the models. External testing was performed on an independent dataset (UK Biobank dataset) consisting of 9327 participants with diabetes.

RESULTS

For the regression task of eGFR, in ShDMC dataset, the coefficient of determination (R2) was 0.684±0.07 (95 % CI) for image model, 0.501±0.04 for metadata model, and 0.727±0.002 for hybrid model. In external UK Biobank dataset, a coefficient of determination (R2) was 0.647±0.06 for image model, 0.627±0.03 for metadata model, and 0.697±0.07 for hybrid model. Our method was demonstrably superior to previous methods. For the classification of hyperuricemia, in ShDMC validation, the area, under the curve (AUC) was 0.86±0.013for image model, 0.86±0.013 for metadata model, and 0.92±0.026 for hybrid model. Estimates with UK biobank were 0.82±0.017 for image model, 0.79±0.024 for metadata model, and 0.89±0.032 for hybrid model.

CONCLUSION

There is a potential deep learning algorithm using fundus photographs as a noninvasively screening adjunct for hyperuricemia among individuals with diabetes. Meanwhile, combining patient's metadata enables higher screening accuracy. After applying the visualization tool, it found that the deep learning network for the identification of hyperuricemia mainly focuses on the fundus optic disc region.

Substituting potatoes with other food groups and type 2 diabetes risk: findings from the Diet, Cancer, and Health Study

BACKGROUND

While potatoes are considered a dietary staple in some cultures, evidence suggests that their impact on T2D risk is nuanced, with preparation methods and dietary patterns playing crucial roles. Investigating the substitution effects of replacing potatoes with other foods is required to inform dietary recommendations for lowering T2D risk.

OBJECTIVE

To investigate associations between the substitution of potatoes (excluding fries/chips) with other food groups (vegetables, wholegrains, refined grains, red meat, processed meat, poultry, fish, and dairy) and the risk of T2D.

METHODS

The diet of participants from the prospective Danish Diet, Cancer, and Health study (DCH) was captured at baseline (1993-1997) by a food frequency questionnaire. Participants were followed up for incident T2D from baseline until 2012. Associations between the substitution of potatoes (total, boiled, and mashed) with other food groups and incident T2D was assessed by multivariable Cox-proportional hazards model.

RESULTS

In 54,793 DCH study participants, during a median follow-up of 16.3 years, 7,693 incident T2D cases were recorded. A 26% lower risk of T2D was observed when 50 g/day of potatoes were substituted with the same amount of wholegrains [HR and 95% CI: 0.74 (0.70, 0.79)]. Similarly, a lower risk of T2D was observed upon substituting 25 g/day of potatoes with an equivalent amount of green leafy [0.79 (0.74, 0.83)], cruciferous [0.87 (0.83, 0.92)] and yellow/orange/red vegetables [0.97 (0.96, 0.99)]. Conversely, a higher risk of T2D was observed when potatoes were substituted with poultry [1.08 (1.02, 1.15)], red meat [1.06 (1.02, 1.10)] and processed meat [1.17 (1.11, 1.23)]. Replacing boiled potatoes with red meat or poultry was associated with a higher risk of T2D compared to replacing mashed potatoes.

CONCLUSIONS

Substituting potatoes with wholegrains and most types of vegetables was associated with a lower risk of T2D while substituting potatoes with poultry, red meat and processed meat was associated with a higher risk.

Global burden of metabolic diseases, 1990-2021

BACKGROUND

Common metabolic diseases, such as type 2 diabetes mellitus (T2DM), hypertension, obesity, hypercholesterolemia, and metabolic dysfunction-associated steatotic liver disease (MASLD), have become a global health burden in the last three decades. The Global Burden of Disease, Injuries, and Risk Factors Study (GBD) data enables the first insights into the trends and burdens of these metabolic diseases from 1990 to 2021, highlighting regional, temporal and differences by sex.

METHODS

Global estimates of disability-adjusted life years (DALYs) and deaths from GBD 2021 were analyzed for common metabolic diseases (T2DM, hypertension, obesity, hypercholesterolemia, and MASLD). Age-standardized DALYs (mortality) per 100,000 population and annual percentage change (APC) between 1990 and 2021 were estimated for trend analyses. Estimates are reported with uncertainty intervals (UI).

RESULTS

In 2021, among five common metabolic diseases, hypertension had the greatest burden (226 million [95 % UI: 190-259] DALYs), whilst T2DM (75 million [95 % UI: 63-90] DALYs) conferred much greater disability than MASLD (3.67 million [95 % UI: 2.90-4.61]). The highest absolute burden continues to be found in the most populous countries of the world, particularly India, China, and the United States, whilst the highest relative burden was mostly concentrated in Oceania Island states. The burden of these metabolic diseases has continued to increase over the past three decades but has varied in the rate of increase (1.6-fold to 3-fold increase). The burden of T2DM (0.42 % [95 % UI: 0.34-0.51]) and obesity (0.26 % [95 % UI: 0.17-0.34]) has increased at an accelerated rate, while the rate of increase for the burden of hypertension (-0.30 % [95 % UI: -0.34 to -0.25]) and hypercholesterolemia (-0.33 % [95 % UI: -0.37 to -0.30]) is slowing. There is no significant change in MASLD over time (0.05 % [95 % UI: -0.06 to 0.17]).

CONCLUSION

In the 21st century, common metabolic diseases are presenting a significant global health challenge. There is a concerning surge in DALYs and mortality associated with these conditions, underscoring the necessity for a coordinated global health initiative to stem the tide of these debilitating diseases and improve population health outcomes worldwide.

Inhibition of dynamin-related protein 1-filamin interaction improves systemic glucose metabolism

BACKGROUND AND PURPOSE

Maintaining mitochondrial quality is attracting attention as a new strategy to treat diabetes and diabetic complications. We previously reported that mitochondrial hyperfission by forming a protein complex between dynamin-related protein (Drp) 1 and filamin, mediates chronic heart failure and cilnidipine, initially developed as an L/N-type Ca2+ channel blocker, improves heart failure by inhibiting Drp1-filamin protein complex. We investigated whether cilnidipine improves hyperglycaemia of various diabetic mice models.

EXPERIMENTAL APPROACH

Retrospective analysis focusing on haemoglobin A1c (HbA1c) was performed in hypertensive and hyperglycaemic patients taking cilnidipine and amlodipine. After developing diabetic mice by streptozotocin (STZ) treatment, an osmotic pump including drug was implanted intraperitoneally, followed by weekly measurements of blood glucose levels. Mitochondrial morphology was analysed by electron microscopy. A Ca2+ channel-insensitive cilnidipine derivative (1,4-dihydropyridine [DHP]) was synthesized and its pharmacological effect was evaluated using obese (ob/ob) mice fed with high-fat diet (HFD).

KEY RESULTS

In patients, cilnidipine was superior to amlodipine in HbA1c lowering effect. Cilnidipine treatment improved systemic hyperglycaemia and mitochondrial morphological abnormalities in STZ-exposed mice, without lowering blood pressure. Cilnidipine failed to improve hyperglycaemia of ob/ob mice, with suppressing insulin secretion. 1,4-DHP improved hyperglycaemia and mitochondria abnormality in ob/ob mice fed HFD. 1,4-DHP and cilnidipine improved basal oxygen consumption rate of HepG2 cells cultured under 25 mM glucose.

CONCLUSION AND IMPLICATIONS

Inhibition of Drp1-filamin protein complex formation becomes a new strategy for type 2 diabetes treatment.

Microfluidic-based systems for the management of diabetes

Diabetes currently affects approximately 500 million people worldwide and is one of the most common causes of mortality in the United States. To diagnose and monitor diabetes, finger-prick blood glucose testing has long been used as the clinical gold standard. For diabetes treatment, insulin is typically delivered subcutaneously through cannula-based syringes, pens, or pumps in almost all type 1 diabetic (T1D) patients and some type 2 diabetic (T2D) patients. These painful, invasive approaches can cause non-adherence to glucose testing and insulin therapy. To address these problems, researchers have developed miniaturized blood glucose testing devices as well as microfluidic platforms for non-invasive glucose testing through other body fluids. In addition, glycated hemoglobin (HbA1c), insulin levels, and cellular biomechanics-related metrics have also been considered for microfluidic-based diabetes diagnosis. For the treatment of diabetes, insulin has been delivered transdermally through microdevices, mostly through microneedle array-based, minimally invasive injections. Researchers have also developed microfluidic platforms for oral, intraperitoneal, and inhalation-based delivery of insulin. For T2D patients, metformin, glucagon-like peptide 1 (GLP-1), and GLP-1 receptor agonists have also been delivered using microfluidic technologies. Thus far, clinical studies have been widely performed on microfluidic-based diabetes monitoring, especially glucose sensing, yet technologies for the delivery of insulin and other drugs to diabetic patients with microfluidics are still mostly in the preclinical stage. This article provides a concise review of the role of microfluidic devices in the diagnosis and monitoring of diabetes, as well as the delivery of pharmaceuticals to treat diabetes using microfluidic technologies in the recent literature.

Association of BMI, lipid-lowering medication, and age with prevalence of type 2 diabetes in adults with heterozygous familial hypercholesterolaemia: a worldwide cross-sectional study

BACKGROUND

Statins are the cornerstone treatment for patients with heterozygous familial hypercholesterolaemia but research suggests it could increase the risk of type 2 diabetes in the general population. A low prevalence of type 2 diabetes was reported in some familial hypercholesterolaemia cohorts, raising the question of whether these patients are protected against type 2 diabetes. Obesity is a well known risk factor for the development of type 2 diabetes. We aimed to investigate the associations of known key determinants of type 2 diabetes with its prevalence in people with heterozygous familial hypercholesterolaemia.

METHODS

This worldwide cross-sectional study used individual-level data from the EAS FHSC registry and included adults older than 18 years with a clinical or genetic diagnosis of heterozygous familial hypercholesterolaemia who had data available on age, BMI, and diabetes status. Those with known or suspected homozygous familial hypercholesterolaemia and type 1 diabetes were excluded. The main outcome was prevalence of type 2 diabetes overall and by WHO region, and in relation to obesity (BMI ≥30·0 kg/m2) and lipid-lowering medication as predictors. The study population was divided into 12 risk categories based on age (tertiles), obesity, and receiving statins, and the risk of type 2 diabetes was investigated using logistic regression.

FINDINGS

Among 46 683 adults with individual-level data in the FHSC registry, 24 784 with heterozygous familial hypercholesterolaemia were included in the analysis from 44 countries. 19 818 (80%) had a genetically confirmed diagnosis of heterozygous familial hypercholesterolaemia. Type 2 diabetes prevalence in the total population was 5·7% (1415 of 24 784), with 4·1% (817 of 19 818) in the genetically diagnosed cohort. Higher prevalence of type 2 diabetes was observed in the Eastern Mediterranean (58 [29·9%] of 194), South-East Asia and Western Pacific (214 [12·0%] of 1785), and the Americas (166 [8·5%] of 1955) than in Europe (excluding the Netherlands; 527 [8·0%] of 6579). Advancing age, a higher BMI category (obesity and overweight), and use of lipid-lowering medication were associated with a higher risk of type 2 diabetes, independent of sex and LDL cholesterol. Among the 12 risk categories, the probability of developing type 2 diabetes was higher in people in the highest risk category (aged 55-98 years, with obesity, and receiving statins; OR 74·42 [95% CI 47·04-117·73]) than in those in the lowest risk category (aged 18-38 years, without obesity, and not receiving statins). Those who did not have obesity, even if they were in the upper age tertile and receiving statins, had lower risk of type 2 diabetes (OR 24·42 [15·57-38·31]). The corresponding results in the genetically diagnosed cohort were OR 65·04 (40·67-104·02) for those with obesity in the highest risk category and OR 20·07 (12·73-31·65) for those without obesity.

INTERPRETATION

Adults with heterozygous familial hypercholesterolaemia in most WHO regions have a higher type 2 diabetes prevalence than in Europe. Obesity markedly increases the risk of diabetes associated with age and use of statins in these patients. Our results suggest that heterozygous familial hypercholesterolaemia does not protect against type 2 diabetes, hence managing obesity is essential to reduce type 2 diabetes in this patient population.

FUNDING

Pfizer, Amgen, MSD, Sanofi-Aventis, Daiichi-Sankyo, and Regeneron.

The influence of glutamate receptors on insulin release and diabetic neuropathy

Diabetes causes macrovascular and microvascular complications such as peripheral neuropathy. Glutamate regulates insulin secretion in pancreatic β-cells, and its increased activity in the central nervous system is associated with peripheral neuropathy in animal models of diabetes. One strategy to modulate glutamatergic activity consists in the pharmacological manipulation of metabotropic glutamate receptors (mGluRs), which, compared to the ionotropic receptors, allow for a fine-tuning of neurotransmission that is compatible with therapeutic interventions. mGluRs are a family of eight G-protein coupled receptors classified into three groups (I-III) based on sequence homology, transduction mechanisms, and pharmacology. Activation of group II and III or inhibition of group I represents a strategy to counteract the glutamatergic hyperactivity associated with diabetic neuropathy. In this review article, we will discuss the role of glutamate receptors in the release of insulin and the development/treatment of diabetic neuropathy, with particular emphasis on their manipulation to prevent the glutamatergic hyperactivity associated with diabetic neuropathy.