Prevalence of Diabetic Nephropathy among Patients with Type 2 Diabetes Mellitus in China: A Meta-Analysis of Observational Studies

Dapagliflozin improves diabetic kidney disease by inhibiting ferroptosis through β-hydroxybutyrate production

BACKGROUND

Diabetic kidney disease (DKD) is the leading cause of end-stage renal disease. Sodium-glucose cotransporter protein 2 inhibitors (SGLT2i) are antihyperglycemic agents that provide additional renal-protective effects in patients with DKD, independent of their glucose-lowering effects. However, the underlying mechanism remains unclear. This study hypothesized that SGLT2i could alleviate diabetic kidney injury by inhibiting ferroptosis and explored its potential mechanisms.

METHODS

C57BL/6J mice were randomly divided into the control, DKD, DKD+dapagliflozin, and DKD+insulin treatment groups. Blood glucose levels and body weight were monitored. Renal function, tissue pathology, mitochondrial morphology and function, and lipid peroxidation biomarkers (lipid peroxidation [LPO], malondialdehyde [MDA], glutathione peroxidase 4 [GPX4], glutathione [GSH], and cystine transporter solute carrier family 7 member 11 [SLC7A11]) were evaluated. Human proximal tubule cells (HK2 cells) were exposed to high glucose alone or in combination with dapagliflozin. The mitochondrial membrane potential (MMP), adenosine triphosphate (ATP) level, NAD+/NADH ratio (oxidized/reduced ratio of nicotinamide adenine dinucleotide), and lipid peroxidation were measured. In addition, the role of the β-hydroxybutyrate- Calcium/Calmodulin Dependent Protein Kinase Kinase 2 (BHB-CaMKK2) axis in mediating dapagliflozin regulating ferroptosis was examined.

RESULTS

Dapagliflozin significantly ameliorated kidney injury in mice with DKD. Typical changes in ferroptosis, including lipid peroxidation and impaired antioxidant capacity, increased in mice with DKD and HG-treated HK-2 cells. Dapagliflozin significantly improves ferroptosis-related lipid peroxidation and mitochondrial dysfunction. Furthermore, dapagliflozin suppressed the expression of CaMKK2, a key ferroptosis regulator. Specific CaMKK2 inhibitors alleviated mitochondrial damage and ferroptosis, whereas a CaMKK2 agonist counteracted the protective effects of dapagliflozin against mitochondrial, antioxidant, and anti-ferroptosis effects. In addition, dapagliflozin increased BHB production, which mediates its nephroprotective effects.

CONCLUSION

Dapagliflozin improves DKD by inhibiting ferroptosis, promoting BHB production, and regulating CaMKK2.

Prevalence and clinical characteristics of chronic kidney disease among patients with newly diagnosed ketosis-onset diabetes

BACKGROUND

The prevalence and clinical characteristics of chronic kidney disease (CKD) among patients with ketosis-onset diabetes (also known as ketosis-prone diabetes) remain unclear. Furthermore, the classification of ketosis-onset diabetes remains controversial and requires further investigation.

AIM

To investigate the prevalence and clinical features of CKD in patients with newly diagnosed ketosis-onset diabetes.

METHODS

This real-world study included 217 patients with type 1 diabetes mellitus (T1DM), 698 with ketosis-onset diabetes, and 993 with non-ketotic T2DM. The prevalence and clinical characteristics of CKD were compared among the three groups. Risk factors associated with CKD were evaluated using binary logistic regression for each group.

RESULTS

After adjusting for age and sex, the prevalence of CKD among patients with ketosis-onset diabetes (17.8%) was significantly higher than that in those with T1DM (8.3%, P = 0.007), but was not statistically different compared to those with non-ketotic T2DM (21.7%, P = 0.214). Furthermore, some risk factors for CKD, including age, and serum uric acid and C-reactive protein levels, in patients with ketosis-onset diabetes were similar to those with T2DM, but significantly different from those with T1DM.

CONCLUSION

The prevalence, clinical characteristics, and risk factors for CKD among patients with ketosis-onset diabetes were more similar to those with non-ketotic T2DM but considerably different from those with T1DM. These findings further support the classification of ketosis-onset diabetes as a subtype of T2DM rather than idiopathic T1DM.

The role of advanced glycation end products between thyroid function and diabetic nephropathy and metabolic disorders

purpose of this study was to investigate the relationship between AGEs, TSH, metabolic metrics and DN, and to provide evidence for future intervention.

METHOD

This study selected community health service centers which had signed medical alliance agreement with the First Affiliated Hospital of Anhui Medical University and outpatints and inpatients in Anhui province. From March 2018 to July 2022, the multi-stage cluster sampling. method was used to screen residents aged 18-90 years in the above areas. Participants' blood was collected on an empty stomach to detect TSH, blood lipids, liver and kidney function and blood glucose, in addition, AGEs levels were detected by skin autofluorescence (SAF), and urine was retained to measure the ratio of urinary microalbumin to creatinine concentration by ACR. One-way ANOVA was used to compare the differences between general data, biochemical markers, and urinary ACR, association between variables.

RESULT

A total of 7000 patients who participated in community health examination and inpatients and also had no history of serious mental disorders were selected. After excluding data with missing value of more than 5%, 6921 samples were finally included, and the effective rate was 94.4%. Following health risk factors (HRFs), such as body mass index (BMI), TSH, low-density lipoprotein (LDL), TyG (triglyceride glucose index), systolic blood pressure (SBP), cholesterol (TC), and uric acid (UA) were associated with a higher incidence of urine ACR. In moderation analysis, there is an significant effect among TSH, AGEs and DN, HRFs moderate also these effect.

CONCLUSION

The findings suggest that HRFs such as HDL, TyG and TC should be prioritized when evaluating indicators related to DN to effectively reduce DN in Chinese patients with high health risk levels. Comprehensive indicators may be an effective and practical. method to evaluate the metabolic progression of DN. Optimizing thyroid function management may be a new strategy to prevent and treat DN and may help reduce the risk of AGE-related complications in people with diabetes. This study highlights the important role of AGEs in the relationship between TSH and DN. In addition, future studies should further explore how to improve the management and prevention of DN by regulating TSH.Among the leading causes of disability and death in patients with type 1 diabetes mellitus (T1DM) and type 2 diabetes (T2DM), chronic kidney disease (CKD) occupies a certain position. Multi-factor intervention targeting advanced glycation end products (AGEs), blood glucose, blood pressure and lipids can reduce the morbidity and mortality of diabetic nephropathy (DN) in T2DM patients through thyroid stimulating hormone (TSH), which plays an important role in the pathological process of metabolic diseases such as DN. AGEs, as a key factor in metabolic regulation, may affect the formation and function of the thyroid gland; However, in DN, the correlation between AGEs and TSH has not been clarified. We hypothesized that AGEs aggravated the negative effect of TSH on DN. The.

Roxadustat regulates the cell cycle and inhibits proliferation of mesangial cells via the hypoxia-inducible factor-1α/P53/P21 pathway

Background

Over-proliferation of mesangial cells (MCs) is one of the main pathological changes in the early stages of diabetic kidney disease (DKD). Roxadustat, an oral hypoxia-inducible factor (HIF) prolyl hydroxylase inhibitor, is widely studied in different models of kidney disease. Whether roxadustat has beneficial effect on the proliferation of MCs and DKD remains unknown.

Methods

The optimal concentration of roxadustat for inhibiting MC proliferation was determined using CCK-8 and colony formation assays. Changes in the cell cycle were detected using flow cytometry, and changes in cell cycle-related proteins were screened using quantitative reverse transcription polymerase chain reaction. Reverse experiments were applied using Trp53-/- cell line. Co-immunoprecipitation was used to verify the interaction between HIF-1α and p53 and predict sites of interaction. Finally, a corresponding in vivo verification was performed.

Results

Optimal concentrations of high glucose (30 mM) and roxadustat (100 μM) were established. Roxadustat showed anti-proliferation effect on MCs through S-phase arrest. HIF-1α/p53/p21 and downstream cyclins (cyclin A1, cyclin A2, and cyclin E1) showed corresponding changes. A reverse experiment confirmed that HIF-1α affected cell cycle and proliferation through p53, and co-immunoprecipitation results showed a interaction between HIF-1α and p53. Molecular docking predicted the possible interaction between Lys328, Pro332, Arg245, and Lys251 of HIF-1α and Ala222, Tyr226, Glu225, and Asp265 of p53, respectively. Finally, animal experiments demonstrated similar effect of roxadustat in db/db mice.

Conclusion

Roxadustat regulates and inhibits cell proliferation of MCs via the HIF-1α/p53/p21 pathway. This may be a potential therapeutic target in the early stages of diabetic kidney disease.

Proteomics exploration of metformin hydrochloride for diabetic kidney disease treatment via the butanoate metabolism pathway

Diabetic nephropathy (DKD) is a diabetesrelated kidney injury with an increasing incidence every year. Metformin hydrochloride (MET), a cornerstone treatment for glucose lowering, has been widely reported for the treatment of DKD, but the specific molecular mechanisms and potential therapeutic targets still need to be further explored. We used kidney tissues from db/db mice as samples and used proteomics and bioinformatics to analyse the function, distribution and related pathways of differential proteins in DKD, focusing on the assessment of the binding energies of key proteins in the butyrate pathway and drugs at the molecular level, which showed that the expression profiles of differential proteins in kidney tissues were altered after MET treatment, involving energy metabolism. The key proteins involved in the butanoate metabolism pathway, including AACS, ACSM3, EHHADH and HMGCS2, exhibit binding energies to MET of ＜-5 kcal. It is therefore plausible that MET treatment may affect the butanoate metabolism pathway, potentially ameliorating the progression of DKD by modulating mitochondrial function and inflammatory responses.

Research progress of hypoxia-inducible factor-1α and zinc in the mechanism of diabetic kidney disease

Diabetic kidney disease is one of the common complications in diabetic patients and has gradually become an important pathogenic factor in chronic kidney disease. Therefore, studying the mechanisms of its occurrence and development is of great significance for the prevention and treatment of diabetic kidney disease. Some researchers have pointed out that there is a phenomenon of hypoxia in diabetic kidney tissue and believe that hypoxia-inducible factor-1α is closely related to the occurrence and progression of diabetic kidney disease. Additionally, the homeostasis of zinc plays a key role in the body's adaptation to hypoxic environments. However, the specific relationship among these three factors remains unclear. This article provides a detailed review of the multiple roles of hypoxia-inducible factor-1α in the pathogenesis of diabetic kidney disease, including: regulating angiogenesis, increasing the expression of erythropoietin, modulating oxidative stress through the PI3K/AKT and HIF-1α/HO-1 pathways, promoting inflammatory cell infiltration and the release of inflammatory factors to induce inflammatory responses, facilitating epithelial-mesenchymal transition, pathological angiogenesis, and promoting the release of fibrotic factors, ultimately leading to renal fibrosis. Furthermore, HIF-1α also participates in the occurrence and development of diabetic kidney disease through mechanisms such as regulating apoptosis, inducing mitochondrial autophagy, and vascular calcification. At the same time, this article clarifies the regulatory role of the trace element zinc on hypoxia-inducible factor-1α in diabetic kidney disease. This article provides references and insights for further research on the pathogenesis and progression of diabetic kidney disease.

Coffee intake, plasma caffeine levels, and diabetic microvascular complications: A Mendelian randomization study

BACKGROUND AND AIM

Diabetic microvascular complications pose significant health challenges for individuals. The influence of modifiable lifestyle factors, such as coffee intake, on these complications has not been conclusively determined, highlighting the need for a causality assessment.

METHODS AND RESULTS

Utilizing Mendelian randomization (MR), this study explored the causal links between coffee intake, plasma caffeine levels, and diabetic microvascular complications using data from FinnGen. Single nucleotide polymorphisms associated with coffee intake and plasma caffeine levels were identified through genome-wide association study meta-analyses. The univariable MR analysis indicated a slightly increased risk for diabetic retinopathy (OR 1.006; 95 % CI: 1.002-1.010; P = 0.003) and a suggestively elevated risk for nephropathy (OR 1.011; 95 % CI: 1.001-1.022; P = 0.036) associated with genetically predicted higher coffee intake, while no significant effect on neuropathy was observed. Multivariable MR analysis, adjusted for smoking, revealed a significant protective effect of coffee intake on diabetic retinopathy (OR 0.895; 95 % CI: 0.856-0.936; P = 9.468 × 10-7) and a suggestive reduction in risk for diabetic nephropathy (OR 0.828; 95 % CI: 0.712-0.963; P = 0.014). Higher plasma caffeine levels were also suggestively protective against these complications.

CONCLUSIONS

Our findings suggest that genetically predicted higher coffee intake and plasma caffeine levels are protective for diabetic retinopathy and nephropathy. Further research is necessary to substantiate these findings and to investigate their potential impact on diabetes management strategies.

Risk Evaluation of Progression of Proteinuria and Renal Decline Based on a Novel Subgroup Classification in Chinese Patients with Type 2 Diabetes

INTRODUCTION

Type 2 diabetes mellitus (T2DM) is a highly heterogeneous disease with a varying risk of complications. The recent novel subgroup classification using cluster analysis contributed to the risk evaluation of diabetic complications. However, whether the subgroup classification strategy could be adopted to predict the risk of onset and progression of diabetic kidney disease (DKD) in Chinese individuals with T2DM remains to be elucidated.

METHODS

In this retrospective study, 612 Chinese patients with T2DM were enrolled, and the median follow-up time was 3.5 years. The T2DM subgroups were categorized by a two-step cluster analysis based on five parameters, including age at onset of diabetes, body mass index (BMI), glycosylated hemoglobin (HbA1c), homeostasis model assessment 2 of insulin resistance (HOMA2-IR), and homeostasis model assessment 2 of β-cell function (HOMA2-β). Clinical characteristics across subgroups were compared using t-tests and chi-square tests. Furthermore, multivariate logistic regression models were adopted to assess the risk of albuminuria progression and renal function decline among different subgroups.

RESULTS

The cohort was categorized into four groups: severe insulin-deficient diabetes (SIDD), with 146 patients (23.9%); mild insulin resistance (MIRD), with 81 patients (13.2%); moderate glycemic control diabetes (MGCD), with 211 patients (34.5%); and moderate weight insulin deficiency diabetes (MWIDD), with 174 patients (28.4%). The MIRD group exhibited an increased risk of progression from non-albuminuria to albuminuria as compared with the MWIDD group, with an adjusted odds ratio (OR) and 95% confidence interval (CI) of 2.92 (1.06, 8.04). The SIDD group had a higher risk of progression from micro-albuminuria to macro-albuminuria as compared with the MGCD group, with an adjusted OR and 95% CI of 3.39 (1.01, 11.41). There was no significant difference in the glomerular filtration rate (GFR) decline among all groups.

CONCLUSION

The present study offered the first evidence for risk evaluation of the development of DKD in the novel cluster-based T2DM Chinese subgroups. It suggested that the MIRD subgroup had a higher risk of DKD onset than the MWIDD subgroup. Meanwhile, the SIDD subgroup showed a higher risk of progression of albuminuria than the MGCD subgroup. This novel classification system could be effective in predicting the risk of DKD in Chinese patients with T2DM, which could facilitate the implementation of personalized therapeutic strategies.

TRIAL REGISTRATION

This study was registered in the Chinese Clinical Trial Registry (ChiCTR2300077183).

Identify unmet needs in diabetes care in Shandong, China: a secondary analysis of a cross-sectional study using cascade of care framework

BACKGROUND

The continuum management of diabetes remains under-evaluated in China. This study aimed to estimate the proportions of diabetes adults at each stage of the cascade of care framework in Shandong, China.

METHODS

We conducted a secondary analysis using the 2018 China Adult Chronic Disease and Nutrition Surveillance (CACDNS) data in Shandong. This nationwide cross-sectional survey was conducted between September and November 2018, investigating the major chronic diseases among Chinese adults through interviews, physical examinations, and laboratory tests. We employed the cascade model to examine the proportion of diabetes adults, including both type 1 and type 2, from diabetes screening, diagnosis, pharmaceutical and non-pharmaceutical treatments, to single and comprehensive management targets, and quantified the attrition between each stage. Diabetes screening was defined as participants reported to have ever received a blood glucose test. Diabetes diagnosis was defined as: 1) fasting plasma glucose (FPG) ≥ 126 mg/dL, or 2) 2-h oral glucose tolerance test (2 h-OGTT) ≥ 200 mg/dL, or 3) hemoglobin A1c (HbA1c) ≥ 6.5%, or 4) self-reported diabetes. Diabetes management targets included: 1) single glycemic target of personalized HbA1c level, 2) comprehensive ABC targets of personalized HbA1c level, blood pressure (BP) < 140/80 mm Hg, and low-density lipoprotein cholesterol (LDL-c) level < 2.6 mmol/L, 3) lifestyle target of not currently smoking. The estimated proportion was calculated through self-reported diabetes status and FPG, 2h-OGTT and HbA1c. The number of diabetes cases in Shandong was extrapolated using the 2018 provincial census data for adults aged 18 years and above (N = 80.6 million). The cascade of diabetes care was further examined by age, sex, and Basic Public Health Service (BPHS) enrollment.

RESULTS

This secondary analysis included 8,462 individuals (47.8% males, median age: 49.0), among whom 12.4% had diabetes (self-reported: 4.2%, newly diagnosed: 8.2%) and 41.1% had prediabetes. In 2018, an estimated 9.2 million adults in Shandong had diabetes, with 6.4 million (69.6%) receiving diabetes screening but 6.2 million (67.7%) remaining unaware of their conditions. Among self-reported diabetes adults, 2.7 million (86.4%) and 2.8 million (89.6%) received pharmaceutical and non-pharmaceutical treatment, respectively. Of those with treatments, 1.2 million (58.2%) met personalized glycemic target. A rapid decline, however, was observed in BP (31.1%) and LDL-c (39.3%) control among diabetes patients with multimorbidity (≥ 2 diseases). Ultimately, 0.1 million self-reported diabetes adults (3.8%) achieved the ABC targets. BPHS Enrollment slightly improved comprehensive management with ABC targets.

CONCLUSIONS

A significant unmet need exists for diabetes adults from screening to management, particularly the comprehensive management of glycemia, BP and LDL-c levels among those with multimorbidity. Tailored strategies and appropriate allocation of healthcare resource is needed to addressing gaps in care continuum and reduce long-term disease burden.

Cross-country inequalities in disease burden and care quality of chronic kidney disease due to type 2 diabetes mellitus, 1990-2021: Findings from the global burden of disease study 2021

AIM

To explore the trend of burden and care quality of chronic kidney disease due to type 2 diabetes mellitus (CKD-T2DM) and their cross-country inequalities from 1990 to 2021.

MATERIALS AND METHODS

Data were from the Global Burden of Disease 2021 study. Disease burden and care quality were quantified using the disability-adjusted life years rate and the quality-of-care index (QCI). Trend analyses of the age-standardized disability-adjusted life years rate (ASDR) and age-standardized QCI from 1990 to 2021 were conducted using the estimated annual percentage change. The associations of disease burden and care quality with the socio-demographic index (SDI) were explored. Cross-country inequalities in disease burden and care quality were assessed using the slope index of inequality (SII) and concentration index.

RESULTS

From 1990 to 2021, the global ASDR for CKD-T2DM increased, while the age-standardized QCI slightly decreased, with an estimated annual percentage change of 0.81 [95% confidence interval (CI): 0.75, 0.87] and -0.08 (95% CI: -0.09, -0.07). The ASDR escalated with increasing SDI, reaching a peak at mid-level SDI, followed by a decrease. The age-standardized QCI was higher with increasing SDI. Globally, ASDR concentrated on countries/territories with a lower SDI. The SII of ASDR was -96.64 (95% CI: -136.94, -56.35) in 1990 and -118.15 (95% CI: -166.36, -69.94) in 2021,  with a concentration index of -0.1298 (95% CI: -0.1904, -0.0692) in 1990 and -0.1104 (95% CI: -0.1819, -0.0389) in 2021. In 1990 and 2021, countries/territories at higher SDI levels exhibited increased age-standardized QCI, indicated by an SII of 15.09 (95% CI: 10.74, 19.45) and 15.75 (95% CI: 10.92, 20.59), and a concentration index of 0.0393 (95% CI: 0.0283, 0.0503) and 0.0400 (95% CI: 0.0264, 0.0536).

CONCLUSIONS

Our study highlights considerable disparities in the burden and care quality of CKD-T2DM. Regions experiencing an increasing burden and a declining care quality simultaneously underscore the need for further research and tailored health interventions.

Effectiveness and safety of finerenone in diabetic kidney disease patients: a real-world observational study from China

AIMS

Finerenone has been approved for treating diabetic kidney disease (DKD) with reducing cardiorenal risk. Real-world data on finerenone treatment for the management of DKD are presently lacking. This study aimed to investigate the effect of finerenone on the renal parameters of the Chinese DKD population in the real-world medical setting for the first time, especially in combination with renin-angiotensin system inhibitors (RASi) and sodium-glucose cotransporter 2 inhibitors (SGLT2i).

METHODS

Forty-two DKD patients were selected and completed a 6-month finerenone treatment. Renal parameters and adverse effects were collected at every visit.

RESULTS

The median urine albumin-to-creatinine ratio (UACR) was 1426.11 (755.42, 3638.23) mg/g. Among them, the proportion of patients with a UACR of 300-5000 mg/g was 76.2%, and the proportion of patients with a UACR of >5000 mg/g was 14.3%. The median estimated glomerular filtration rate (eGFR) was 54.50 (34.16, 81.73) mL/min/1.73 m2. Finerenone decreased the UACR significantly throughout the study period (p < .05). The maximal decline of UACR at month 6 was 73%. Moreover, the proportion of patients with a 30% or greater reduction in UACR was 68.42% in month 6. There was a smaller decline (9-11%) in the eGFR after initiating finerenone (p > .05). One patient each discontinued finerenone due to hyperkalemia (2.4%) and acute kidney injury (2.4%). No patient reported hypotension, breast pain, and gynecomastia.

CONCLUSIONS

This study from China first demonstrated finerenone decreased UACR with manageable safety in real-world DKD treatment. A triple regimen of RASi, SGLT2i, and finerenone may be a promising treatment strategy for lowering albuminuria and reducing hyperkalemia risk in advanced DKD patients.

Association between hydration status and the risk and all-cause mortality of diabetic kidney disease

BACKGROUND

This cohort study aimed to explore the relationship between hydration status and the risk of diabetic kidney disease (DKD) as well as all-cause death in DKD patients.

METHODS

Weighted univariable and multivariable logistic regression models were used to explore the association between hydration status and DKD risk in diabetic population while weighted univariable and multivariable Cox regression models were used to identify the association between hydration status and all-cause mortality in DKD patients. Kaplan-Meier curve was plotted to present the survival probability of patients with different hydration status. Estimates were presented as odds ratio (OR), and hazard ratio (HR) with 95% confidence interval (CI).

RESULTS

The mean follow-up time was 79.74 (±1.89) months. There were 2041 participants with DKD, and 2889 participants without. At the end of the follow-up, 965 participants were alive. The risk of DKD was increased as the increase of osmolarity level (OR = 1.07, 95%CI: 1.05-1.08). The elevated risk of DKD was observed in patients with impending dehydration (OR = 1.49, 95%CI: 1.19-1.85) or current dehydration (OR = 2.69, 95%CI: 2.09-3.46). The association between increased osmolarty level and elevated risk of all-cause mortality in DKD patients was statistically different (HR = 1.02, 95%CI: 1.01-1.03). Current dehydration was correlated with increased all-cause mortality risk in DKD patients (HR = 1.27, 95%CI: 1.01-1.61). Compared to DKD patients with normal hydration, the survival probability of DKD patients with current dehydration was significant lower (p < 0.001).

CONCLUSION

Increased osmolarity level was associated with increased risk of DKD and elevated risk of all-cause mortality in DKD patients.

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.

Efficacy and Safety of Jiedu Tongluo Therapy for Diabetic Kidney Disease Treatment: A Systematic Review and Meta-Analysis

Background: No comprehensive meta-analysis has evaluated the efficacy and safety of the protective effect of Jiedu Tongluo Therapy on the kidney of DKD until now. This meta-analysis covers this gap in knowledge. Methods: We have conducted an extensive search of databases, including CNKI, Wanfang, PubMed, and Web of Science. The selection was based on conventional treatment, including information and education on DKD, blood glucose, hypertension control methods, and lifestyle. The control group was composed of conventional western medicine or proprietary Chinese medicine, and the experimental group was composed of Jiedu Tongluo therapy controlled trials (RCTs) between 2003 and 2023. R 4.1.0 software was used to perform statistical analysis. Results: A total of 1871 patients from 19 RCTs were analyzed. Meta-analysis results showed that the Jiedu Tongluo therapy was effective in improving clinical efficacy (OR = 2.47, 95% CI [1.94, 3.15], I 2 = 0%), and these trials were more effective in reducing Scr (MD = -19.81, 95% CI [-27.64, -11.97], p < 0.01), BUN (MD = -0.70, 95% CI [-1.13, -0.27], p < 0.01), UAER (MD = -29.97, 95% CI [-37.33, -22.61], p < 0.01), FBG (MD = -0.85, 95% CI [-1.22, -0.47], p < 0.01), and certain medication safety (OR = 0.75, 95% CI [0.27, 2.11]). Conclusions: For treating diabetic kidney disease, TCM-based Jiedu Tongluo therapy showed optimal clinical efficacy and safety. However, further rational experiments are needed to validate the above conclusions.

Epidemiological characteristics, complications of haemodialysis patients with end-stage diabetic nephropathy in a tertiary hospital in Guizhou, China: a cross-sectional survey

Introduction

In China, diabetes mellitus (DM) significantly contributes to end-stage renal disease (ESRD), necessitating treatments like hemodialysis. This study investigates hemodialysis outcomes in diabetic nephropathy patients in Guizhou Province, aiming to enhance care for this high-risk group.

Methods

The cross-sectional survey design to screen haemodialysis patients with end-stage diabetic nephropathy, a structured questionnaire was designed. The collected data were collated and coded and analyzed using GraphPad Prism 9.5.0 (730).

Results

Patients with end-stage diabetic nephropathy undergoing dialysis are primarily concentrated in the middle-aged and elderly population, with a higher proportion of males than females. Male patients also have a higher history of smoking and alcohol consumption compared to females. The disease progression from diabetes to diabetic nephropathy and from nephropathy to end-stage renal disease varies, with a lower dialysis vintage. Hemodialysis is the most commonly chosen treatment modality, with the highest proportion of patients selecting non-tunneled catheters. However, among patients receiving dialysis, the proportion of autogenous arteriovenous fistula (AVF) is the highest. With the increase in the duration of diabetes, the prevalence of multiple complications also increases.

Conclusion

Early intervention and management strategies are crucial for diabetic nephropathy patients in Guizhou, considering the rapid disease progression to ESRD and high complication rates. The study underscores the need for targeted healthcare policies to address the unique challenges of this population, with future research required to deepen the understanding of disease mechanisms and improve patient outcomes.

Huperzine A targets Apolipoprotein E: A potential therapeutic drug for diabetic nephropathy based on omics analysis

AIMS

Diabetic nephropathy (DN) is a major complication of diabetes mellitus (DM) without curative interventions currently. Huperzine A (Hup A), a natural alkaloid, has demonstrated significant hypoglycemic and anti-inflammatory effects. We aim to investigate the protective effects of Hup A on DN and explore the underlying mechanisms METHODS: We applied STZ induced diabetic rats as DN model and leveraged combination analysis of the transcriptome, metabolome, microbiome, and network pharmacology (NP). The total effect of Hup A on DN was detected (i.e. urine protein, renal tissue structure) and the differential genes were further verified at the level of diabetic patients, db/db mice and cells. Clinical data and small interfering RNA (siRNA)-Apoe were adopted.

RESULTS

Hup A alleviated kidney injury in DN rats. Transcriptomics data and Western blot indicated that the improvement in DN was primarily associated with Apoe and Apoc2. Additionally, metabolomics data demonstrated that DN-induced lipid metabolism disruption was regulated by Hup A, potentially involving sphingosine. Hup A also enriched microbial diversity and ameliorated DN-induced microbiota imbalance. Spearman's correlation analysis demonstrated significant associations among the transcriptome, metabolome, and microbiome. Apoe level was positively correlated with clinical biomarkers in DN patients. Si-Apoe also played protective role in podocytes. NP analysis also suggested that Hup A may treat DN by modulating lipid metabolism, microbial homeostasis, and apoptosis, further validating our findings.

CONCLUSIONS

Collectively, we provide the first evidence of the therapeutic effect of Hup A on DN, indicating that Hup A is a potential drug for the prevention and treatment of DN.

Vitamin D receptor alleviates lipid peroxidation in diabetic nephropathy by regulating ACLY/Nrf2/Keap1 pathway

The membrane lipid damage caused by reactive oxygen species(ROS) and various peroxides, namely lipid peroxidation, plays an important role in the progression of diabetic nephropathy (DN).We previously reported that vitamin D receptor(VDR) plays an active role in DN mice by modulating autophagy disorders. However, it is unclear whether the ATP-citrate lyase (ACLY)/NF-E2-related factor-2 (Nrf2)/Kelch-like ECH-associated protein 1 (Keap1) pathway is associated with the reduction of lipid peroxidation by VDR in the DN model. We found that in the DN mouse model, VDR knockout significantly aggravated mitochondrial morphological damage caused by DN, increased the expression of ACLY, promoted the accumulation of ROS, lipid peroxidation products Malondialdehyde(MDA) and 4-hydroxy-2-nonenal (4-HNE),consumed the Nrf2/Keap1 system, thus increasing lipid peroxidation. However, the overexpression of VDR and intervention with the VDR agonist paricalcitol (Pari) can reduce the above damage. On the other hand, cellular experiments have shown that Pari can significantly reduce the elevated expression of ACLY and ROS induced by advanced glycation end products (AGE). However, ACLY overexpression partially eliminated the positive effects of the VDR agonist. Next, we verified the transcriptional regulation of ACLY by VDR through chromatin immunoprecipitation (ChIP)-qPCR and dual luciferase experiments. Moreover, in AGE models, knockdown of ACLY decreased lipid peroxidation and ROS production, while intervention with Nrf2 inhibitor ML385 partially weakened the protective effect of ACLY downregulation. In summary, VDR negatively regulates the expression of ACLY through transcription, thereby affecting the state of Nrf2/Keap1 system and regulating lipid peroxidation, thereby inhibiting kidney injury induced by DN.

Prevalence of nephropathy among diabetic patients in North American region: A systematic review and meta-analysis

BACKGROUND

Nephropathy is one of the most common microvascular impediments of diabetes mellitus. In this study, we aimed to estimate the prevalence of nephropathy in diabetic patients across the North American region.

METHODS

Eligible studies were screened out from 3 electronic databases, for example, PubMed, Google Scholar, and ScienceDirect using specific search keywords based on the eligibility criteria. Extracting the data from the included studies publication bias, quality assessment, outlier investigation, and meta-analysis was done followed by the subgroup analysis. A total of 11 studies met the study inclusion criteria. Meta-analysis was performed with the extracted data.

RESULTS

Pooled prevalence of 28.2% (95% confidence interval [CI]: 19.7-36.7) with a high rate of heterogeneity (I2 = 100%) was identified. The pooled prevalence of nephropathy among diabetic patients in the United States of America, Canada, and Mexico was 24.2% (95% CI: 13.8-34.5), 31.2% (95% CI: 25.8-36.5), and 31.1% (95% CI: 20.8-41.5), respectively.

CONCLUSION

The prevalence of nephropathy among diabetic patients was found lower in the United States of America as compared to Canada and Mexico. Besides, the pooled prevalence of the North American region was found to be lower as compared to the African, European, and Asian regions. Minimizing the pathogenic factors, sufficient diagnostic, healthcare facilities, and awareness are recommended to improve the situation.

Role of Triglyceride-Glucose Index in Type 2 Diabetes Mellitus and Its Complications

Insulin resistance (IR) is the major mechanism in the pathogenesis of type 2 diabetes mellitus (T2DM). Early identification of IR is of great significance for preventing the onset of T2DM and delaying the progression of the disease. Previous studies have shown that triglyceride-glucose (TyG) index can be used as an effective surrogate marker for IR. There is a significant correlation between TyG index and T2DM and its common complications. In addition, the predictive efficacy of TyG index is better than that of other IR surrogate indicators. TyG index may not only become an important marker to identify people at high risk of T2DM and its complications, but is also expected to become a strong predictor of the prognosis of these diseases. However, there are still some challenges in the widespread application of TyG index in clinical practice. In the future, more high-quality studies are needed to clarify the assessment methods of TyG index for the prognosis of T2DM and its complications. Further investigations of the relationship between TyG index and T2DM and its complications will be expected to provide new ideas and methods for the prevention and treatment of T2DM and its complications.

Signalment and laboratory findings in cats with diabetes mellitus in Germany: a retrospective review of laboratory submissions of 129,505 cats

OBJECTIVES

The aims of this study were to compare signalment and laboratory parameters between diabetic (D) and non-diabetic (ND) cats and poorly-controlled diabetic (PD) and well-controlled diabetic (WD) cats in Germany.

METHODS

Laboratory data from Antech Lab Germany between 2015 and 2018 were retrospectively analysed. Age, sex, red blood cell count (RBC), creatinine (CREA), alkaline phosphatase (AP), alanine aminotransferase (ALT), bilirubin (BILI), cholesterol (CHOL), triglycerides (TRI), glucose (GLU) and total thyroxine (TT4) were compared between D (fructosamine ⩾340 µmol/l) and ND cats, and PD (fructosamine >500 µmol/l) and WD (fructosamine 340-500 µmol/l) cats. The proportion of cats with anaemia (RBC ⩽4.21 ×1012/l), CREA >250 µmol/l, ALT >455 U/l, AP >315 U/l, BILI ⩾35 µmol/l and TT4 > reference interval (RI) was compared between PD and WD cats. Data are presented as median and interquartile range (IQR) and analysed using non-parametric tests. Significance was P<0.05, and effect size was assessed by Cramér V or r.

RESULTS

In total, 129,505 cats were included (D: n = 9334 [prevalence 7.2%], WD: n = 5670/9334 [60.7%]). The median age of D and ND cats was 12 years (IQR D 9-14; ND 9-15); there was no difference in sex. A significant difference was found between groups (D vs ND; PD vs WD) for all parameters studied. Considering the effect sizes and medians outside the RI, the only relevant difference was higher CHOL, TRI, AP and GLU in PD compared with WD (CHOL: PD 7.46 [5.85-9.32] vs WD 5.44 [4.32-6.97] mmol/l, P<0.001, r = 0.39; TRI: PD 1.44 [0.84-3.66] vs WD 0.78 [0.5-1.35] mmol/l, P <0.001, r = 0.35; AP: PD 66 [47-92] vs WD 35 [23-59] U/l, P <0.001, r = 0.39; GLU: PD 23.7 [20.15-27.3] vs WD 6.89 [5-11.31] mmol/l, P <0.001, r = 0.69).

CONCLUSIONS AND RELEVANCE

Laboratory changes in diabetic cats were mild and mainly associated with lipid derangements.

Prevalence and Risk Factors of Chronic Kidney Disease in Patients With Type 2 Diabetes in China: Cross-Sectional Study

BACKGROUND

Chronic kidney disease (CKD) is a significant long-term complication of diabetes and is a primary contributor to end-stage kidney disease.

OBJECTIVE

This study aimed to report comprehensive nationwide data on the prevalence, screening, and awareness rates of CKD in Chinese patients with type 2 diabetes, along with associated risk factors.

METHODS

Baseline data analysis of the ongoing prospective, observational IMPROVE study was conducted. The study cohort comprised patients who had been diagnosed with type 2 diabetes more than 12 months prior, received at least 1 hypoglycemic medication, and were aged ≥18 years. The participants completed questionnaires and underwent laboratory assessments, including blood and urine samples. The data encompassed patient demographics, medical history, concurrent medications, and comorbidities. Comprehensive evaluations involved physical examinations, urinary albumin-to-creatinine ratio (UACR), estimated glomerular filtration rate (eGFR), glycated hemoglobin (HbA1c), fasting blood glucose, 2-hour postprandial blood glucose, fasting blood lipid profile, and urinalysis. Descriptive statistics were applied for data interpretation, and logistic regression analyses were used to identify the CKD-associated risk factors in patients with type 2 diabetes.

RESULTS

A national study from December 2021 to September 2022 enlisted 9672 participants with type 2 diabetes from 45 hospitals that had endocrinology departments. The enrollees were from diverse regions in China, as follows: central (n=1221), east (n=3269), south (n=1474), north (n=2219), and west (n=1489). The prevalence, screening, and awareness rates of CKD among patients with type 2 diabetes were 31% (2997/9672), 27% (810/2997), and 54.8% (5295/9672), respectively. Multivariate binary regression analysis revealed that the CKD risk factors were screening, awareness, smoking, age, diabetes duration, concurrent antihypertensive and microcirculation medications, diabetic complications (foot, retinopathy, and neuropathy), hypertension, elevated low-density lipoprotein (LDL) cholesterol, and suboptimal glycemic control. Subgroup analysis highlighted an increased CKD prevalence among older individuals, those with prolonged diabetes durations, and residents of fourth-tier cities. Residents of urban areas that had robust educational and economic development exhibited relatively high awareness and screening rates. Notably, 24.2% (1717/7107) of patients with an eGFR ≥90 mL/min/1.73 m2 had proteinuria, whereas 3.4% (234/6909) who had a UACR <30 mg/g presented with an eGFR <60 mL/min/1.73 m2. Compared with patients who were cognizant of CKD, those who were unaware of CKD had increased rates of HbA1c ≥7%, total cholesterol >5.18 μmol/L, LDL cholesterol >3.37 μmol/L, BMI ≥30 kg/m2, and hypertension.

CONCLUSIONS

In a Chinese population of adults with type 2 diabetes, the CKD prevalence was notable, at 31%, coupled with low screening and awareness rates. Multiple risk factors for CKD have been identified.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05047471; https://clinicaltrials.gov/study/NCT05047471.

Variants in PPARD-GLP1R are related to diabetic kidney disease in Chinese Han patients with type 2 diabetes mellitus

Genetic susceptibility is an important pathogenic mechanism in diabetic kidney disease (DKD). Our previous studies have identified that PPARδ and GLP-1R are located in a pathway that is closely related to DKD. We aimed to explore the impacts of variants in PPARD-GLP1R on the susceptibility to DKD in Chinese Han patients with type 2 diabetes mellitus (T2DM). A total of 600 T2DM patients (300 with DKD and 300 without DKD) and 200 healthy control subjects were enrolled to identify PPARD (rs2016520, rs2267668 and rs3777744) and GLP1R (rs3765467, rs1042044 and rs9296291) genotype. The SNaPshot method was used to identify variants in PPARD-GLP1R. We performed correlation analysis between variants in PPARD-GLP1R and the susceptibility to DKD. We observed that GLP1R rs3765467 (G > A) was associated with DKD (OR = 3.145, 95 % CI = 2.128-6.021, P = 0.035). None of the other SNPs were associated with DKD. Regarding DKD related traits, rs3765467 was associated with UACR levels and TC, significant differences were observed among patients with different genotypes of rs2016520 in terms of BMI and TG, and patients with the rs3777744 risk G allele had noticeably higher PPG and HbA1c levels (P < 0.05). Moreover, the results showed the interactions between PPARD rs3777744 and GLP1R rs3765467 in the occurrence of DKD (OR = 4.572, P = 0.029). The results of this study indicate the potential relationship between variants in PPARD-GLP1R and the susceptibility to DKD in Chinese Han patients with T2DM.

Efficacy comparison of multipoint and single point scanning panretinal laser photocoagulation in non-proliferative diabetic retinopathy treatment

BACKGROUND

Non-proliferative diabetic retinopathy (NPDR) poses a significant challenge in diabetes management due to its microvascular changes in the retina. Laser photocoagulation, a conventional therapy, aims to mitigate the risk of progressing to proliferative diabetic retinopathy (PDR).

AIM

To compare the efficacy and safety of multi-spot vs single-spot scanning panretinal laser photocoagulation in NPDR patients.

METHODS

Forty-nine NPDR patients (86 eyes) treated between September 2020 and July 2022 were included. They were randomly allocated into single-spot (n = 23, 40 eyes) and multi-spot (n = 26, 46 eyes) groups. Treatment outcomes, including best-corrected visual acuity (BCVA), central macular thickness (CMT), and mean threshold sensitivity, were assessed at predetermined intervals over 12 months. Adverse reactions were also recorded.

RESULTS

Energy levels did not significantly differ between groups (P > 0.05), but the multi-spot group exhibited lower energy density (P < 0.05). BCVA and CMT improvements were noted in the multi-spot group at one-month post-treatment (P < 0.05). Adverse reaction incidence was similar between groups (P > 0.05).

CONCLUSION

While energy intensity and safety were comparable between modalities, multi-spot scanning demonstrated lower energy density and showed superior short-term improvements in BCVA and CMT for NPDR patients, with reduced laser-induced damage.

Development and Validation of a Nomogram for Predicting Lacunar Infarction in Patients with Hypertension

Background

A considerable proportion of hypertensive patients may experience lacunar infarction. Therefore, early identification of the risk for lacunar infarction in hypertensive patients is particularly important. This study aimed to develop and validate a concise nomogram for predicting lacunar infarction in hypertensive patients.

Methods

Retrospectively analyzed the clinical data of 314 patients with accurate history of hypertension in the Second Affiliated Hospital of Wannan Medical College from January 2021 to December 2022. All the patients were randomly assigned to the training set (n=220) and the validation set (n=94) with 7:3. The diagnosis of lacunar infarction in patients was confirmed using cranial CT or MRI. The independent risk factors of lacunar infarction were determined by Least absolute shrinkage and selection operator (LASSO) regression and multivariable logistic regression analysis. The nomogram was built based on the independent risk factors. The nomogram's discrimination, calibration, and clinical usefulness were evaluated by receiver operating characteristics (ROC) curve, calibration curve, and decision curve analysis (DCA) analysis, respectively.

Results

The incidence of lacunar infarction was 34.50% and 33.00% in the training and validation sets, respectively. Five independent predictors were made up of the nomogram, including age (OR=1.142, 95% CI: 1.089-1.198, P<0.001), diabetes mellitus (OR=3.058, 95% CI: 1.396-6.697, P=0.005), atrial fibrillation (OR=3.103, 95% CI: 1.328-7.250, P=0.009), duration of hypertension (OR=1.130, 95% CI: 1.045-1.222, P=0.002), and low-density lipoprotein (OR=2.147, 95% CI: 1.250-3.688, P=0.006). The discrimination with area under the curve (AUC) was 0.847 (95% CI: 0.789-0.905) in the training set and was a slight increase to 0.907 (95% CI: 0.838-0.976) in the validation set. The calibration curve showed high coherence between the predicted and actual probability of lacunar infarction. Moreover, the DCA analysis indicated that the nomogram had a higher overall net benefit of the threshold probability range in both two sets.

Conclusion

Age, diabetes mellitus, atrial fibrillation, duration of hypertension, and low-density lipoprotein were significant predictors of lacunar infarction in hypertensive patients. The nomogram based on the clinical data was constructed, which was a useful visualized tool for clinicians to assess the risk of the lacunar infarction in hypertensive patients.

Triglyceride Glucose Index for the Detection of Diabetic Kidney Disease and Diabetic Peripheral Neuropathy in Hospitalized Patients with Type 2 Diabetes

INTRODUCTION

The triglyceride-glucose index (TyG) has been identified as a dependable and simple indicator marker of insulin resistance (IR). Research has demonstrated a correlation between macrovascular complications and TyG. However, limited research exists regarding the relationship between TyG and diabetic microvascular complications. Consequently, the objective of this study is to investigate the association between TyG and diabetic kidney disease (DKD) and diabetic peripheral neuropathy (DPN).

METHODS

This is a cross-sectional, observational study. A total of 2048 patients from Tongren Hospital, Shanghai Jiao Tong University School of Medicine were enrolled. The primary outcomes are DKD and DPN. Quantile regression analysis was employed to investigate the implicit factors of TyG quartiles. Subsequently, based on implicit factors, logistic regression models were constructed to further examine the relationship between TyG and DKD and DPN.

RESULTS

In the baseline, TyG exhibited higher values across patients with DKD, DPN, and co-existence of DKD and DPN (DKD + DPN) in type 2 diabetes (T2D). Univariate logistic regressions demonstrated a significant association between an elevated TyG and an increased risk of DKD (OR = 1.842, [95% CI] 1.317-2.578, P for trend < 0.01), DPN (OR = 1.516, [95% CI] 1.114-2.288, P for trend < 0.05), DKD + DPN (OR = 2.088, [95% CI] 1.429-3.052, P for trend < 0.05). Multivariable logistic regression models suggested a statistically significant increase in the risk of DKD (OR = 1.581, [95% CI] 1.031-2.424, p < 0.05), DKD + DPN (OR = 1.779, [95% CI] 1.091-2.903, p < 0.05) after adjusting the implicit factors of TyG quartiles. However, no significant relationship was observed between TyG and DPN in the multivariable regression analysis.

CONCLUSIONS

Elevated TyG was significantly associated with an increased risk of DKD in T2D, but no significant relationship was shown with DPN. This finding provided further evidence for the clinical significance of integrating TyG into the initial assessment of diabetic microvascular complications.

Relationship between fibrosis-4 score and microvascular complications in patients with type 2 diabetes mellitus

BACKGROUND AND STUDY AIMS

Nonalcoholic fatty liver disease is the most prevalent chronic liver disease globally and is linked to augmented susceptibility to type 2 diabetes mellitus (DM), cardiovascular disease, and microvascular complications inherent to DM, such as nephropathy, neuropathy, and retinopathy. The fibrosis-4 (FIB-4) scoring system, a noninvasive tool, is useful for predicting the extent of liver fibrosis across diverse pathologies. This study aimed to assess the potential predictive role of FIB-4 scores in microvascular complications associated with diabetes.

PATIENTS AND METHODS

The medical records of patients with type 2 DM admitted to our endocrinology clinic between February 2019 and December 2020 were retrospectively evaluated. Parameters including demographic attributes, fasting blood glucose, glycated hemoglobin, aspartate aminotransferase, alanine aminotransferase, thrombocyte levels, and microvascular complications were recorded. The FIB-4 score was computed, and patients were categorized based on these scores (<1.3 and ≥ 1.3).

RESULTS

The analysis included 312 patients with a median age of 60 (50-68 years); 39.7 % were men. The median duration of diabetes was 10 years (5-20 years), and the median FIB-4 score was 0.93 (0.63-1.34). Neuropathy, nephropathy, and retinopathy were observed in 50.6 %, 31.4 %, and 34 % of the patients, respectively. Although the FIB-4 score did not differ significantly between patients with and without neuropathy or retinopathy, patients with nephropathy exhibited higher FIB-4 scores. Notably, patients with FIB-4 scores ≥ 1.3 demonstrated a significantly higher prevalence of nephropathy. Logistic regression analysis demonstrated that higher FIB-4 scores were significantly associated with an increased risk of nephropathy.

CONCLUSION

The FIB-4 score is a cost-effective and straightforward tool with potential applicability in predicting nephropathy in individuals with type 2 DM.

Piperazine ferulate inhibits diabetic nephropathy by suppressing AGE/RAGE-mediated inflammatory signaling in rats and podocytes

Objective: Diabetic nephropathy (DN) is a serious complication that may occur during the later stages of diabetes, and can be further exacerbated by podocyte damage. Piperazine ferulate (PF) has well-defined nephroprotective effects and is used clinically in the treatment of chronic nephritis and other kidney diseases. However, the renoprotective effects and mechanisms of PF on DN are not clear. This study aims to investigate the protective effect of PF on DN and its mechanism of action, to inform the clinical application of PF in DN treatment. Methods: Network pharmacology was performed to predict the mechanism of action of PF in DN. Male Sprague Dawley rats were intraperitoneally injected with STZ (60 mg/kg) to establish a DN model, and then assessed for renal injury after 12 weeks of administration. In vitro, rat podocytes were treated with 25 mmol/L glucose and cultured for 24 h, followed by an assessment of cell injury. Results: Our results showed that PF significantly improved renal function, reduced renal pathological changes, decreased inflammatory response, and alleviated podocyte damage in DN rats. PF also attenuated glucose-induced podocyte injury in vitro. Regarding molecular mechanisms, our study demonstrated that PF downregulated the expression of genes and proteins related to AGE-RAGE-mediated inflammatory signaling. Conclusion: In summary, PF exerts its renoprotective effects by decreasing inflammation and protecting against podocyte injury through the inhibition of the AGE/RAGE/NF-κB/NLRP3 pathway. Overall, these data support the clinical potential of PF as a renoprotective agent in DN.

A 3-year follow-up analysis of renal function in elderly patients with type 2 diabetes mellitus and an estimated glomerular filtration rate <90 mL/min/1.73m2: A retrospective cohort study

Type 2 diabetes mellitus (T2DM) is a risk factor for patients with impaired renal function. The onset of T2DM-induced diabetic kidney disease (DKD) is frequently sub-clinical, potentially culminating in end-stage renal disease. In the current study the factors influencing DKD in elderly patients diagnosed with T2DM were determined. A retrospective cohort study was conducted involving patients ≥60 years of age with T2DM from June 2019 to December 2022. The Cockcroft-Gault formula was used to estimate the glomerular filtration rate. The clinical information and biochemical indicators of patients with an estimated glomerular filtration rate (eGFR) < 90 mL/min/1.73m2 were collected. Patients were grouped based on a 3-year eGFR decline < 15% and ≥ 15%. The differences between the two groups were compared and the factors influencing the 3-year eGFR decline ≥ 15% were analyzed. A total of 242 patients were included, including 154 in the group with a 3-year eGFR decline < 15% and 88 in the group with a three-year eGFR decline ≥ 15%. Univariate logistic regression analysis showed that smoking cigarettes, and triglycerides (TG) and high-density lipoprotein levels were related to a 3-year eGFR decline ≥ 15% (P = .039, P < .001, and P = .011, respectively). Multivariate logistic regression analysis showed that the TG level was independently related to a 3-year eGFR decline ≥ 15% (P = .004; OR = 2.316). There was a significant linear relationship between the eGFR decline and TG level (P = .002). Patients with a TG concentration > 1.7 mmol/L had a more apparent decrease in the eGFR (P < .05). For elderly patients with T2DM and an eGFR < 90 mL/min/1.73m2, the TG level may be an important risk factor for deteriorating renal function that warrants actively intervention.

Strategies to address diabetic kidney disease burden in Mexico: a narrative review by the Mexican College of Nephrologists

Chronic kidney disease (CKD) is a growing global public health challenge worldwide. In Mexico, CKD prevalence is alarmingly high and remains a leading cause of morbidity and mortality. Diabetic kidney disease (DKD), a severe complication of diabetes, is a leading determinant of CKD. The escalating diabetes prevalence and the complex regional landscape in Mexico underscore the pressing need for tailored strategies to reduce the burden of CKD. This narrative review, endorsed by the Mexican College of Nephrologists, aims to provide a brief overview and specific strategies for healthcare providers regarding preventing, screening, and treating CKD in patients living with diabetes in all care settings. The key topics covered in this review include the main cardiometabolic contributors of DKD (overweight/obesity, hyperglycemia, arterial hypertension, and dyslipidemia), the identification of kidney-related damage markers, and the benefit of novel pharmacological approaches based on Sodium-Glucose Co-Transporter-2 Inhibitors (SGLT2i) and Glucagon-Like Peptide-1 Receptor Agonists (GLP-1 RA). We also address the potential use of novel therapies based on Mineralocorticoid Receptor Antagonists (MRAs) and their future implications. Emphasizing the importance of multidisciplinary treatment, this narrative review aims to promote strategies that may be useful to alleviate the burden of DKD and its associated complications. It underscores the critical role of healthcare providers and advocates for collaborative efforts to enhance the quality of life for millions of patients affected by DKD.

LRG1 Contributes to the Pathogenesis of Multiple Kidney Diseases: A Comprehensive Review

Background

The increasing prevalence of kidney diseases has become a significant public health issue, with a global prevalence exceeding 10%. In order to accurately identify biochemical changes and treatment outcomes associated with kidney diseases, novel methods targeting specific genes have been discovered. Among these genes, leucine-rich α-2 glycoprotein 1 (LRG1) has been identified to function as a multifunctional pathogenic signaling molecule in multiple diseases, including kidney diseases. This study aims to provide a comprehensive overview of the current evidence regarding the roles of LRG1 in different types of kidney diseases.

Summary

Based on a comprehensive review, it was found that LRG1 was upregulated in the urine, serum, or renal tissues of patients or experimental animal models with multiple kidney diseases, such as diabetic nephropathy, kidney injury, IgA nephropathy, chronic kidney diseases, clear cell renal cell carcinoma, end-stage renal disease, canine leishmaniosis-induced kidney disease, kidney fibrosis, and aristolochic acid nephropathy. Mechanistically, the role of LRG1 in kidney diseases is believed to be detrimental, potentially through its regulation of various genes and signaling cascades, i.e., fibronectin 1, GPR56, vascular endothelial growth factor (VEGF), VEGFR-2, death receptor 5, GDF15, HIF-1α, SPP1, activin receptor-like kinase 1-Smad1/5/8, NLRP3-IL-1b, and transforming growth factor β pathway.

Key Messages

Further research is needed to fully comprehend the molecular mechanisms by which LRG1 contributes to the pathogenesis and pathophysiology of kidney diseases. It is anticipated that targeted treatments focusing on LRG1 will be utilized in clinical trials and implemented in clinical practice in the future.

Effectiveness and safety of tripterygium wilfordii poly-glycosides on glomerulonephritis: a systematic review and meta-analysis

Treatment of glomerulonephritis presents several challenges, including limited therapeutic options, high costs, and potential adverse reactions. As a recognized Chinese patent medicine, Tripterygium wilfordii poly-glycosides (TWP) have shown promising benefits in managing autoimmune diseases. To evaluate clinical effectiveness and safety of TWP in treating glomerulonephritis, we systematically searched PubMed, Cochrane Library, Web of Science, and Embase databases for controlled studies published up to 12 July 2023. We employed weighted mean difference and relative risk to analyze continuous and dichotomous outcomes. This meta-analysis included 16 studies that included primary membranous nephropathy (PMN), type 2 diabetic kidney disease (DKD), and Henoch-Schönlein purpura nephritis (HSPN). Analysis revealed that additional TWP administration improved patients' outcomes and total remission rates, reduced 24-h urine protein (24hUP) and decreased relapse events. The pooled results demonstrated the non-inferiority of TWP to glucocorticoids in achieving total remission, reducing 24hUP, and converting the phospholipase A2 receptor (PLA2R) status to negative. For DKD patients, TWP effectively reduced 24hUP levels, although it did not significantly improve the estimated glomerular filtration rate (eGFR). Compared to valsartan, TWP showed comparable improvements in 24hUP and eGFR levels. In severe cases of HSPN in children, significant clinical remission and a reduction in 24hUP levels were observed with the addition of TWP treatment. TWP did not significantly increase the incidence of adverse reactions. Therefore, TWP could offer therapeutic benefits to patients with PMN, DKD, and severe HSPN, with a minimal increase in the risk of side effects.

SGLT2 knockdown restores the Th17/Treg balance and suppresses diabetic nephropathy in db/db mice by regulating SGK1 via Na. Mol Cell Endocrinol 2024;584:112156. [PMID: 38278341 DOI: 10.1016/j.mce.2024.112156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0]

The imbalance between T helper 17 (Th17) and regulatory T (Treg) cells is an important mechanism in the pathogenesis of diabetic nephropathy (DN). Serum/glucocorticoid regulated kinase 1 (SGK1) is a serine-threonine kinase critical for stabilizing the Th17 cell phenotype. Sodium-glucose cotransporter 2 (SGLT2) is a glucose transporter that serves as a treatment target for diabetes. Our study investigated the regulatory role of SGLT2 in the development of DN. The results revealed that SGLT2 knockdown suppressed high glucose-induced excessive secretion of sodium (Na+) and inflammatory cytokines in mouse renal tubular epithelial TCMK-1 cells. High Na+ content induced Th17 differentiation and upregulated SGK1, phosphorylated forkhead box protein O1 (p-FoxO1), and the interleukin 23 receptor (IL-23 R) in primary mouse CD4+ T cells. Co-culture of CD4+ T cells with the culture medium of TCMK-1 cells with insufficient SGLT2 expression significantly suppressed cell migration ability, reduced the production of pro-inflammatory cytokines, and inhibited Th17 differentiation possibly by downregulating SGK1, p-FoxO1, and IL-23 R. In addition, in vivo data demonstrated that SGLT2 knockdown markedly downregulated SGK1 in db/db mice. Insufficient SGLT2 or SGK1 expression also ameliorated the Th17/Treg imbalance, suppressed the development of DN, and regulated the expression of IL-23 R and p-FoxO1. In conclusion, this study showed that SGLT2 knockdown restored the Th17/Treg balance and suppressed DN possibly by regulating the SGK1/p-FoxO1/IL-23 R axis by altering Na+ content in the local environment. These findings highlight the potential use of SGLT2 and SGK1 for the management of DN.

Association between lactate dehydrogenase and the risk of diabetic kidney disease in patients with type 2 diabetes

Objective

This study aims to investigate the association between lactate dehydrogenase (LDH) and the risk of diabetic kidney disease (DKD) in patients with type 2 diabetes (T2D).

Methods

The study enrolled patients with diagnosis of T2D between 2009 and 2018 from the National Nutrition and Health Examination Survey (NHANES) database. Demographic information, laboratory test, and diagnostic data were collected. Restricted cubic spline (RCS) plots were used to assess the dose-effect relationship between LDH levels and the risk of DKD in patients with T2D. Based on LDH levels, individuals were divided into higher and lower groups using dichotomy, and multivariate logistic regression analysis was conducted to explore the relationship between different LDH levels and the risk of DKD in T2D patients. Stratified analysis was performed to assess the consistency of the result.

Results

A total of 4888 patients were included in the study, with 2976 (60.9%) patients without DKD and 1912 (39.1%) patients with DKD. RCS plots showed that the risk of DKD increased with increasing LDH levels. Multifactorial logistic regression analysis revealed that T2D patients with higher LDH levels had a 45% increased risk of DKD compared to those with lower LDH levels (OR=1.45; 95% CI: 1.11-1.89). Furthermore, each standard deviation increase in LDH level was associated with a 24% increase in DKD incidence among T2D patients (OR=1.24; 95% CI: 1.07-1.44). Stratified analysis consistently supported these findings.

Conclusions

LDH can serve as a valuable biomarker for screening DKD in patients with T2D.

Machine learning reveals serum myristic acid, palmitic acid and heptanoylcarnitine as biomarkers of coronary artery disease risk in patients with type 2 diabetes mellitus

BACKGROUND

Coronary heart disease (CHD) is the most important complication of type 2 diabetes mellitus (T2DM) and the leading cause of death. Identifying the risk of CHD in T2DM patients is important for early clinical intervention.

METHODS

A total of 213 participants, including 81 healthy controls (HCs), 69 T2DM patients and 63 T2DM patients complicated with CHD were recruited in this study. Serum metabolomics were conducted by using ultra-high performance liquid chromatography coupled with tandem mass spectrometry (UHPLC-MS/MS). Demographic information and clinical laboratory test results were also collected.

RESULTS

Metabolic phenotypes were significantly altered among HC, T2DM and T2DM-CHD. Acylcarnitines were the most disturbed metabolites between T2DM patients and HCs. Lower levels of bile acids and higher levels of fatty acids in serum were closely associated with CHD risk in T2DM patients. Artificial neural network model was constructed for the discrimination of T2DM and T2DM complicated with CHD based on myristic acid, palmitic acid and heptanoylcarnitine, with accuracy larger than 0.95 in both training set and testing set.

CONCLUSION

Altogether, these findings suggest that myristic acid, palmitic acid and heptanoylcarnitine have a good prospect for the warning of CHD complications in T2DM patients, and are superior to traditional lipid, blood glucose and blood pressure indicators.

Exploring Symptom Clusters in Chinese Patients with Diabetic Kidney Disease: A Network Analysis

Purpose

The research on symptom management in patients with diabetic kidney disease (DKD) has shifted from separate symptoms to symptom clusters and networks recently. This study aimed to evaluate the unpleasant symptoms of DKD patients, and to investigate how these symptom clusters could affect patients.

Methods

408 DKD patients were recruited in this cross-sectional study. The symptoms of DKD patients were measured using the modified Dialysis Symptom Index. Network analysis was employed to evaluate the symptom network and the characteristics of individual nodes, while factor analysis was utilized to identify symptom clusters.

Results

Blurred vision was the most prevalent symptom among DKD patients. The symptoms identified as the most distressing, severe, and frequent were light headache or dizziness, arteriovenous fistula/catheterization pain, and diarrhea, respectively. Five symptom clusters were obtained from factor analysis, and the most central symptom cluster in the entire symptom network was sexual dysfunction.

Conclusion

This study identified five symptom clusters in Chinese DKD patients, with sexual dysfunction emerging as the most central cluster. These findings carry significant clinical implications, underscoring the necessity of assessing symptom clusters and their associations to enhance symptom management in DKD patients. Further research is essential to elucidate the underlying mechanisms of symptoms and to clarify the associations among symptoms in DKD patients across different disease trajectories or treatment modalities.

Amelioration of diabetic nephropathy in mice by a single intravenous injection of human mesenchymal stromal cells at early and later disease stages is associated with restoration of autophagy

BACKGROUND AND AIMS

Mesenchymal stromal cells (MSCs) a potentially effective disease-modulating therapy for diabetic nephropathy (DN) but their clinical translation has been hampered by incomplete understanding of the optimal timing of administration and in vivo mechanisms of action. This study aimed to elucidate the reno-protective potency and associated mechanisms of single intravenous injections of human umbilical cord-derived MSCs (hUC-MSCs) following shorter and longer durations of diabetes.

METHODS

A streptozotocin (STZ)-induced model of diabetes and DN was established in C57BL/6 mice. In groups of diabetic animals, human (h)UC-MSCs or vehicle were injected intravenously at 8 or 16 weeks after STZ along with vehicle-injected non-diabetic animals. Diabetes-related kidney abnormalities was analyzed 2 weeks later by urine and serum biochemical assays, histology, transmission electron microscopy and immunohistochemistry. Serum concentrations of pro-inflammatory and pro-fibrotic cytokines were quantified by ELISA. The expression of autophagy-related proteins within the renal cortices was investigated by immunoblotting. Bio-distribution of hUC-MSCs in kidney and other organs was evaluated in diabetic mice by injection of fluorescent-labelled cells.

RESULTS

Compared to non-diabetic controls, diabetic mice had increases in urine albumin creatinine ratio (uACR), mesangial matrix deposition, podocyte foot process effacement, glomerular basement membrane thickening and interstitial fibrosis as well as reduced podocyte numbers at both 10 and 18 weeks after STZ. Early (8 weeks) hUC-MSC injection was associated with reduced uACR and improvements in multiple glomerular and renal interstitial abnormalities as well as reduced serum IL-6, TNF-α, and TGF-β1 compared to vehicle-injected animals. Later (16 weeks) hUC-MSC injection also resulted in reduction of diabetes-associated renal abnormalities and serum TGF-β1 but not of serum IL-6 and TNF-α. At both time-points, the kidneys of vehicle-injected diabetic mice had higher ratio of p-mTOR to mTOR, increased abundance of p62, lower abundance of ULK1 and Atg12, and reduced ratio of LC3B to LC3A compared to non-diabetic animals, consistent with diabetes-associated suppression of autophagy. These changes were largely reversed in the kidneys of hUC-MSC-injected mice. In contrast, neither early nor later hUC-MSC injection had effects on blood glucose and body weight of diabetic animals. Small numbers of CM-Dil-labeled hUC-MSCs remained detectable in kidneys, lungs and liver of diabetic mice at 14 days after intravenous injection.

CONCLUSIONS

Single intravenous injections of hUC-MSCs ameliorated glomerular abnormalities and interstitial fibrosis in a mouse model of STZ-induced diabetes without affecting hyperglycemia, whether administered at relatively short or longer duration of diabetes. At both time-points, the reno-protective effects of hUC-MSCs were associated with reduced circulating TGF-β1 and restoration of intra-renal autophagy.

The potential of therapeutic strategies targeting mitochondrial biogenesis for the treatment of insulin resistance and type 2 diabetes mellitus

Type 2 diabetes mellitus (T2DM) is a persistent metabolic disorder marked by deficiencies in insulin secretion and/or function, affecting various tissues and organs and leading to numerous complications. Mitochondrial biogenesis, the process by which cells generate new mitochondria utilizing existing ones plays a crucial role in energy homeostasis, glucose metabolism, and lipid handling. Recent evidence suggests that promoting mitochondrial biogenesis can alleviate insulin resistance in the liver, adipose tissue, and skeletal muscle while improving pancreatic β-cell function. Moreover, enhanced mitochondrial biogenesis has been shown to ameliorate T2DM symptoms and may contribute to therapeutic effects for the treatment of diabetic nephropathy, cardiomyopathy, retinopathy, and neuropathy. This review summarizes the intricate connection between mitochondrial biogenesis and T2DM, highlighting the potential of novel therapeutic strategies targeting mitochondrial biogenesis for T2DM treatment and its associated complications. It also discusses several natural products that exhibit beneficial effects on T2DM by promoting mitochondrial biogenesis.

Urinary Excretion of Biomolecules Related to Cell Cycle, Proliferation, and Autophagy in Subjects with Type 2 Diabetes and Chronic Kidney Disease

Dysregulation of cell cycle, proliferation, and autophagy plays a pivotal role in diabetic kidney disease. In this study, we assessed urinary excretion of molecular regulators of these processes that mediate their effects via the PI3K/AKT/mTOR pathway in subjects with long-term type 2 diabetes (T2D) and different patterns of chronic kidney disease (CKD). We included 140 patients with T2D and 20 non-diabetic individuals in a cross-sectional study. Urinary PTEN, Beclin-1, sirtuin 1 (SIRT1), Klotho, fibroblast growth factor 21 (FGF21), and connective tissue growth factor (CTGF) were assessed using ELISA. Patients with T2D, when compared to control, demonstrated increased excretion of PTEN, Beclin-1, SIRT1, FGF21, CTGF, and decreased urinary Klotho (all p < 0.05). In the diabetic group, PTEN, FGF21, and CTGF were significantly higher in patients with declined renal function, while Klotho was lower in those with elevated albuminuria. FGF21 and PTEN correlated inversely with the estimated glomerular filtration rate. There was a negative correlation between Klotho and urinary albumin-to-creatinine ratio. In multivariate models, Klotho and PTEN were associated with albuminuric CKD independently. The results provide further support for the role of PTEN, BECN1, FGF21, Klotho, and CTGF in development albuminuric and non-albuminuric CKD in diabetes.

A retrospective cohort study of clinical characteristics and outcomes of type 2 diabetic patients with kidney disease

Background

Type 2 diabetes mellitus (T2DM) with chronic kidney disease (CKD) poses a serious health threat and becomes a new challenge. T2DM patients with CKD fall into three categories, diabetic nephropathy (DN), non-diabetic kidney disease (NDKD), and diabetic nephropathy plus non-diabetic kidney disease (DN + NDKD), according to kidney biopsy. The purpose of our study was to compare the clinical characteristics and kidney outcomes of DN, NDKD, and DN + NDKD patients.

Methods

Data on clinical characteristics, pathological findings, and prognosis were collected from June 2016 to July 2022 in patients with previously diagnosed T2DM and confirmed DN and or NDKD by kidney biopsy at Tongji Hospital in Wuhan, China. The endpoint was defined as kidney transplantation, dialysis, or a twofold increase in serum creatinine.

Results

In our 6-year retrospective cohort research, a total of 268 diabetic patients were admitted and categorized into three groups by kidney biopsy. The 268 patients were assigned to DN (n = 74), NDKD (n = 109), and DN + NDKD (n = 85) groups. The most frequent NDKD was membranous nephropathy (MN) (n = 45,41.28%). Hypertensive nephropathy was the most common subtype in the DN+NDKD group (n = 34,40%). A total of 34 patients (12.7%) reached the endpoint. The difference between the Kaplan-Meier survival curves of the DN, NDKD, and DN + NDKD groups was significant (p < 0.05). Multifactorial analysis showed that increased SBP [HR (95% CI): 1.018(1.002-1.035), p = 0.025], lower Hb [HR(95% CI): 0.979(0.961-0.997), p = 0.023], higher glycosylated hemoglobin [HR(95% CI): 1.338(1.080-1.658), p = 0.008] and reduced serum ALB [HR(95% CI): 0.952(0.910-0.996), p = 0.032] were risk factors for outcomes in the T2DM patients with CKD.

Conclusions

This research based on a Chinese cohort demonstrated that the risk of endpoint events differed among DN, NDKD, and DN+NDKD patients. In T2DM patients with CKD, DN patients displayed worse kidney prognosis than those with NDKD or DN + NDKD. Increased SBP, higher glycosylated hemoglobin, lower Hb, and decreased serum ALB may be correlated with adverse kidney outcomes in T2DM patients.

SGLT2i relieve proteinuria in diabetic nephropathy patients potentially by inhibiting renal oxidative stress rather than through AGEs pathway

AIMS

To estimate the effects of the sodium-glucose cotransporter 2 inhibitor (SGLT2i) on proteinuria and oxidative stress expression in type 2 diabetes patients.

MATERIALS AND METHODS

68 patients with type 2 diabetes mellitus (T2DM) were divided into three groups according urinary albumin-to-creatinine ratio (UACR), including T2DM with non-albuminuria group (UACR < 30 mg/g), T2DM with microalbuminuria group (30 ≤ UACR ≤ 300 mg/g), T2DM with macroalbuminuria group (UACR>300 mg/g). They all received SGLT2 inhibitors (SGLT2i) treatment for 12 weeks. The expression of advanced glycation end products (AGEs) in plasma and 8-hydroxy-2-deoxyguanosine (8-OHdG) in urine were measured as indications of oxidative stress. The 24-hour urine samples were collected to measure the concentration of proteinuria and 8-OHdG before and after 12 weeks SGLT2i treatment. Plasma renin activity (PRA), angiotensin II (Ang II) and Aldosterone (ALD) were measured to evaluate renin angiotensin aldosterone system (RASS) levels.

RESULTS

After 12 weeks SGLT2 inhibitors treatment, the median values of 24-hour proteinuria decreased in macroalbuminuria compared to baseline (970 vs. 821 mg/d, P = 0.006). The median values of AGEs and 8-OHdG decreased in microalbuminuria and macroalbuminuria groups when compared to baseline, AGEs (777 vs. 136 ug/ml, P = 0.003) and (755 vs. 210 ug/ml, P = 0.001), 8-OHdG (8.00 vs. 1.88 ng/ml, P = 0.001) and (11.18 vs. 1.90 ng/ml, P < 0.001), respectively. Partial correlations showed that 8-OHdG were relevant to the baseline 24-h proteinuria (r = 0.389, p = 0.001), the reduction of OHdG (Δ8-OHdG) were positively correlated with the decrease of 24-h proteinuria (Δ24-h proteinuria) after 12 weeks of SGLT2i treatment (r = 0.283, P = 0.031). There was no significant correlation between 24-h proteinuria and AGEs in baseline (r = -0.059, p = 0.640) as well as between ΔAGEs and Δ24-h proteinuria (r = 0.022, p = 0.872) after12 weeks of SGLT2i treatment in T2DM patients.

CONCLUSIONS

SGLT2i may reduce proteinuria in diabetic nephropathy patients, potentially by inhibiting renal oxidative stress, but not through the AGEs pathway and does not induce RAAS activation.

TRIAL REGISTRATION

This clinical trial was registered on 15/10/2019, in ClinicalTrials.gov, and the registry number is NCT04127084.

Parallelism and non-parallelism in diabetic nephropathy and diabetic retinopathy

Diabetic nephropathy (DN) and diabetic retinopathy (DR), as microvascular complications of diabetes mellitus, are currently the leading causes of end-stage renal disease (ESRD) and blindness, respectively, in the adult working population, and they are major public health problems with social and economic burdens. The parallelism between the two in the process of occurrence and development manifests in the high overlap of disease-causing risk factors and pathogenesis, high rates of comorbidity, mutually predictive effects, and partial concordance in the clinical use of medications. However, since the two organs, the eye and the kidney, have their unique internal environment and physiological processes, each with specific influencing molecules, and the target organs have non-parallelism due to different pathological changes and responses to various influencing factors, this article provides an overview of the parallelism and non-parallelism between DN and DR to further recognize the commonalities and differences between the two diseases and provide references for early diagnosis, clinical guidance on the use of medication, and the development of new drugs.

Clinical study of different prediction models in predicting diabetic nephropathy in patients with type 2 diabetes mellitus

BACKGROUND

Among older adults, type 2 diabetes mellitus (T2DM) is widely recognized as one of the most prevalent diseases. Diabetic nephropathy (DN) is a frequent complication of DM, mainly characterized by renal microvascular damage. Early detection, aggressive prevention, and cure of DN are key to improving prognosis. Establishing a diagnostic and predictive model for DN is crucial in auxiliary diagnosis.

AIM

To investigate the factors that impact T2DM complicated with DN and utilize this information to develop a predictive model.

METHODS

The clinical data of 210 patients diagnosed with T2DM and admitted to the First People's Hospital of Wenling between August 2019 and August 2022 were retrospectively analyzed. According to whether the patients had DN, they were divided into the DN group (complicated with DN) and the non-DN group (without DN). Multivariate logistic regression analysis was used to explore factors affecting DN in patients with T2DM. The data were randomly split into a training set (n = 147) and a test set (n = 63) in a 7:3 ratio using a random function. The training set was used to construct the nomogram, decision tree, and random forest models, and the test set was used to evaluate the prediction performance of the model by comparing the sensitivity, specificity, accuracy, recall, precision, and area under the receiver operating characteristic curve.

RESULTS

Among the 210 patients with T2DM, 74 (35.34%) had DN. The validation dataset showed that the accuracies of the nomogram, decision tree, and random forest models in predicting DN in patients with T2DM were 0.746, 0.714, and 0.730, respectively. The sensitivities were 0.710, 0.710, and 0.806, respectively; the specificities were 0.844, 0.875, and 0.844, respectively; the area under the receiver operating characteristic curve (AUC) of the patients were 0.811, 0.735, and 0.850, respectively. The Delong test results revealed that the AUC values of the decision tree model were lower than those of the random forest and nomogram models (P < 0.05), whereas the difference in AUC values of the random forest and column-line graph models was not statistically significant (P > 0.05).

CONCLUSION

Among the three prediction models, random forest performs best and can help identify patients with T2DM at high risk of DN.

Construction of a Nomogram-Based Prediction Model for the Risk of Diabetic Kidney Disease in T2DM

Introduction

To investigate the predictors of diabetic kidney disease (DKD) in type 2 diabetes mellitus (T2DM) patients and establish a nomogram model for predicting the risk of DKD.

Methods

The clinical data of T2DM patients, admitted to the Endocrinology Department of Chengde Central Hospital from October 2019 to September 2020 and divided into a case group or a control group based on whether they had DKD, were collected. The predictive factors of DKD were screened by univariate and multivariate analysis, and a nomogram prediction model was constructed for the risk of DKD in T2DM. Bootstrapping was used for model validation, receiver operating characteristic (ROC) curve and GiViTI calibration curve were used for evaluating the discrimination and calibration of prediction model, and decision analysis curve (DCA) was used for evaluating the practicality of model.

Results

Predictors for DKD are diabetic retinopathy (DR), hypertension, history of gout, smoking history, using insulin, elevation of body mass index (BMI), triglyceride (TG), cystatin C (Cys-C), and reduction of 25 (OH) D. The nomogram prediction model based on the above nine predictors had good representativeness (Bootstrap method: precision: 0.866, Kappa: 0.334), differentiation [the area under curve (AUC) value: 0.868], and accuracy (GiViTI-corrected curved bands, P = 0.836); the DAC curve analysis showed that the prediction model, whose threshold probability was in the range of 0.10 to 0.70, had clinical practical value.

Conclusion

The risk of DKD in T2DM could be predicted accurately by DR, hypertension, history of gout, smoking history, using insulin, elevation of BMI, TG, Cys-C, and reduction of 25 (OH) D.

Relationship of Vitamin-D Deficiency with Kidney Disease in Patients with Type-2 Diabetes Mellitus (T2DM) in the Makkah Region: A Cross-Sectional Study

Aim

Vitamin D deficiency is linked with type 2 diabetes mellitus (T2DM) and the occurrence of complications in patients with type 2 diabetes mellitus. None of the studies have focused on the association between vitamin D levels in patients with type 2 diabetes mellitus and diabetic nephropathy (DN) in the Makkah region, Saudi Arabia. Hence, the purpose of this study is to investigate the relationship of vitamin D with kidney disease in patients with T2DM in the Makkah region, of Saudi Arabia.

Materials and Methods

This descriptive cross-sectional study was conducted at different hospitals in the Makkah region on T2DM patients from 2021 to 2022. In total, 328 patients with confirmed diabetes were enrolled in this study. T2DM patients over the aged>18 to 92 years were included in the study. General laboratory characteristics of the study population were measured, including fasting blood sugar, HbA1C (Glycated hemoglobin), vitamin D, kidney function (BUN-Blood urea nitrogen and creatinine), and lipid profiles (cholesterol, triglycerides, LDL-Low density lipoprotein, and HDL-High density lipoprotein).

Results

46.6% (n=153) of participants had normal serum vitamin D levels. Insufficient and deficient serum vitamin D level were observed in 43.9% (n=144) and 9.5% (n=31) of participants, respectively. Of the participants, 25.9% (n=85) had good glycemic control (<7.0%). Moderate and poor glycemic control were observed in 39.9% (n=131) and 34.1% (n=112) of the participants, respectively. A significant negative correlation (p<0.5) was found between vitamin D levels and kidney function test results (blood urea nitrogen and serum creatinine levels). An inverse relationship was observed between HbA1c levels and vitamin D deficiency.

Conclusion

Nephropathy is more likely to develop in people with type 2 diabetes mellitus and vitamin D deficiency.

Nephroprotective Effect of Ferula assa-foetida Oleo Gum Resin on Type 2 Diabetic Rats

OBJECTIVE

Diabetic nephropathy is one of the main causes of kidney failure in the end stage of diabetes worldwide. On the other hand, asafoetida is a gum whose hypoglycemic effects have been proven. The present study was conducted with the aim of using asafoetida to prevent diabetic nephropathy.

METHODS

Diabetes was induced by a high-fat diet (60%) and streptozotocin injection (35 mg/kg) in rats. Diabetic rats were treated with an oral dose of 50 mg/kg of asafoetida for 8 weeks. At the end of the experiment, serum and urine parameters were examined. Antioxidant enzymes and lipid peroxidation levels in the kidney were also determined along with its histological examination. The expression levels of tumor necrosis factor-alpha and Transforming growth factor beta genes were also evaluated.

RESULTS

Glucose, cholesterol, triglyceride, and HbA1c concentrations were significantly reduced in the asafoetida 50. On the other hand, in the treatment group, serum creatinine, urea, and albumin levels decreased and increased in urine. Antioxidant enzymes in the kidney improved significantly, and the expression of tumour necrosis factor-alpha and transforming growth factor-beta genes decreased. Histopathological examination also showed that necrosis, epithelial damage, and leukocyte infiltration increased in the diabetic and decreased in the treatment group.

CONCLUSION

The result of biochemical analysis, enzymatic, and histological examinations showed that asafoetida may delay the progression of diabetic nephropathy due to the presence of anti-inflammatory and antioxidant activities.

Clusters of Body Fat and Nutritional Parameters are Strongly Associated with Diabetic Kidney Disease in Adults with Type 2 Diabetes

INTRODUCTION

Diabetic kidney disease (DKD) has become the leading cause of chronic kidney disease and end-stage renal failure in most developed and many developing countries. Strategies aimed at identifying potential modifiable risk factors for DKD are urgently needed. Here, we investigated the association between clusters of body fat and nutritional parameters with DKD in adults with type 2 diabetes mellitus (T2DM).

METHODS

This was a cross-sectional study of 184 participants with T2DM. Biochemical parameters including fasting blood glucose, hemoglobin A1c, hemoglobin, albumin, creatinine, and urinary albumin-to-creatinine ratio (UACR) were measured. The data for percentage of body fat mass (PBF), visceral fat area (VFA), phase angle at 50 kHz (PA50), and body cell mass (BCM) were obtained by bioelectrical impedance analysis (BIA). DKD was diagnosed by UACR and estimated glomerular filtration rate. Factor analysis was used for dimensionality reduction clustering among variables. The association of clusters with the presence of DKD was assessed using binary logistic regression analysis.

RESULTS

Factor analysis identified two clusters which were interpreted as a body fat cluster with positive loadings of VFA, body mass index, waist circumstance, and PBF and a nutritional parameters cluster with positive loadings of PA50, hemoglobin, BCM, and albumin. Participants were divided into the four groups based on the sex-specific cutoff value (median) of each cluster score calculated using the cluster weights and the original variable values. Only participants with high body fat and poor nutritional parameters (OR 3.43, 95% CI 1.25-9.42) were associated with increased odds of having DKD.

CONCLUSION

Body fat and nutritional parameters were strongly associated with and considerably contributed to the presence of DKD, suggesting that body fat and nutrition might be promising markers representing metabolic state in pathogenesis of DKD and clinical utility of BIA might provide valuable recommendations to patients with T2DM.

Lower extremity arterial plaque in patients with type 2 diabetes mellitus: A cross-sectional study of 25-(OH)D3 and other risk factors

OBJECTIVE

The occurrence of chronic vascular complications in individuals with type 2 diabetes mellitus(T2DM) is influenced by multiple factors. This study aims to analyze the correlation between serum 25-(OH)D3 levels and other risk factors with the formation and severity of arterial plaques in the lower extremities, and explore its role in clinical diagnosis and treatment.

METHODS

A total of 628 Chinese patients with T2DM were included in this study. Based on the intima-media thickness (IMT) and plaque echogenicity measured by lower extremity vascular ultrasound, the patients were divided into the no plaque group(NP), low-risk plague group(LP), moderate-risk plague group(MP), and severe-risk plague group(SP). Based on 25-(OH)D3 levels, patients were categorized as vitamin D deficient group (VDD，25-(OH)D3 ≤ 20 ng/mL), vitamin D insufficient group (VDI，25-(OH)D3 between>20 ng/mL and < 30 ng/mL), and vitamin D sufficient group (VDS，25-(OH)D3 ≥ 30 ng/mL). The correlation between the severity of lower extremity arterial plaques and serum 25-(OH)D3 levels was analyzed, as well as the risk factors for lower extremity arterial plaque formation in patients with T2DM.

RESULTS

The levels of 25-(OH)D3 in patients with arterial plaques were significantly lower than those in the NP (p = 0.002). Additionally, with the increasing severity of lower extremity arterial plaques, 25-(OH)D3 levels also decreased significantly (p = 0.01). The proportion of patients with sufficient 25-(OH)D3 levels was highest in NP, while the proportion of deficient and insufficient groups was higher in LP (p<0.001). Multivariate logistic regression analysis showed that low levels of 25-(OH)D3 were an independent risk factor for lower extremity arterial plaques in T2DM patients. Compared to patients with 25-(OH)D3>20 ng/mL, the odds ratios for the formation of moderate-risk plaques were 2.525 (95 % CI: 1.45-4.39) in patients with 25-(OH)D3 ≤ 20 ng/mL, and 2.893 (95 % CI: 1.59-5.26) for the formation of high-risk plaques.

CONCLUSION

Serum 25-(OH)D3 levels may be correlated with the occurrence and severity of lower extremity arterial plaques in patients with T2DM. Low serum 25-(OH)D3 concentration is a risk factor for lower extremity vascular lesions.

A Quest for Potential Role of Vitamin D in Type II Diabetes Mellitus Induced Diabetic Kidney Disease

Diabetes mellitus is a metabolic disorder characterized by high blood sugar levels. In recent years, T2DM has become a worldwide health issue due to an increase in incidence and prevalence. Diabetic kidney disease (DKD) is one of the devastating consequences of diabetes, especially owing to T2DM and the key clinical manifestation of DKD is weakened renal function and progressive proteinuria. DKD affects approximately 1/3rd of patients with diabetes mellitus, and T2DM is the predominant cause of end-stage kidney disease (ESKD). Several lines of studies have observed the association between vitamin D deficiency and the progression and etiology of type II diabetes mellitus. Emerging experimental evidence has shown that T2DM is associated with various kinds of kidney diseases. Recent evidence has also shown that an alteration in VDR (vitamin D receptor) signaling in podocytes leads to DKD. The present review aims to examine vitamin D metabolism and its correlation with T2DM. Furthermore, we discuss the potential role of vitamin D and VDR in diabetic kidney disease.

Sympathetic skin response for early detection of type 2 diabetic peripheral neuropathy and nephropathy

BACKGROUND

Diabetic peripheral neuropathy (DPN) and diabetic nephropathy (DN) are common complications of type 2 diabetes mellitus (T2DM). Although nerve conduction studies (NCS) and sympathetic skin response (SSR) can detect DPN, the more sensitive method for early diagnosis remains unclear. Furthermore, whether DPN can be used as a predictor for diabetic nephropathy needs clarification.

METHODS

We evaluated nerve conduction studies, sympathetic skin response, and the diabetic nephropathy indicator microalbuminuria (MAU) in 192 patients with type 2 diabetes mellitus and 50 healthy controls.

RESULTS

Patients with type 2 diabetes mellitus showed a lower sensory nerve conduction velocity (SCV), sensory active nerve potential (SNAP), motor nerve conduction velocity (MCV), and compound motor action potential (CMAP) than the controls on NCS. Abnormal rates for nerve conduction studies and sympathetic skin response were 75.0% and 83.3%, respectively, in patients with type 2 diabetes mellitus. Interestingly, 54.2% of patients with normal nerve conduction studies had an abnormal sympathetic skin response. Moreover, we found a positive correlation between sympathetic skin response and microalbuminuria for the first time. The abnormal rate of microalbuminuria was 53.8%, lower than that of abnormal nerve conduction studies or sympathetic skin response patients.

CONCLUSION

Sympathetic skin response is a more sensitive method than nerve conduction studies for the early diagnosis of diabetic peripheral neuropathy. Abnormal sympathetic skin response might serve as an indicator for early diabetic nephropathy. Additionally, diabetic peripheral neuropathy may occur earlier than diabetic nephropathy in the development of type 2 diabetes mellitus.

Cinnamaldehyde as a Promising Dietary Phytochemical Against Metabolic Syndrome: A Systematic Review

BACKGROUND

Metabolic syndrome (METS) is a set of unhealthy medical conditions considered essential health problems today. Cinnamaldehyde (CA) is the major phytochemical present in the essential oil of cinnamon and possesses antioxidant, anti-inflammatory, hypoglycemic, and antihyperlipidemic activities.

AIM

We aim to systematically review the effects of CA in preventing and attenuating METS components. Moreover, the cellular and molecular mechanisms of actions of CA, its pharmacokinetics features, and potential structure-activity relationship (SAR) were also surveyed.

METHODS

PubMed, Science Direct, Scopus, and Google Scholar were searched to retrieve the relevant papers.

RESULTS

CA possesses various anti-METS activities, including anti-inflammatory, antioxidant, antidiabetic, antidyslipidemia, antiobesity, and antihypertensive properties. Various molecular mechanisms such as stimulating pancreatic insulin release, exerting an insulinotropic effect, lowering lipid peroxidation as well as pancreatic islet oxidant and inflammatory toxicity, increasing the activities of pancreatic antioxidant enzymes, suppressing pro-inflammatory cytokines production, regulating the molecular signaling pathways of the PPAR-γ and AMPK in preadipocytes and preventing adipocyte differentiation and adipogenesis are involved in these activities.

CONCLUSIONS

CA would effectively hinder METS; however, no robust clinical data supporting these effects in humans is currently available. Accordingly, conducting clinical trials to evaluate the efficacy, safe dosage, pharmacokinetics characteristics, and possible unwanted effects of CA in humans would be of great importance.