Diabetic Kidney Disease Group Research Articles

#444 Novel MRI filtration fraction method to assess glomerular hemodynamics in diabetic kidney disease

Abstract Background and Aims Filtration fraction (FF) is the ratio of the glomerular filtration rate (GFR) to renal plasma flow (RPF) and is therefore an important measure of glomerular hemodynamics. The gold standard method to assess effective RPF is renal clearance of para-aminohippuric acid (PAH) but technical and labour-intensive difficulties limit its application [1]. Quicker and simpler assays of FF are needed, particularly to assess the renal hemodynamic dysfunction (hyper- or hypofiltration) and effects/mode of action of therapeutic interventions in chronic kidney disease (CKD). We assessed a novel magnetic resonance imaging (MRI) technique to measure FF in patients with diabetic kidney disease (DKD) and healthy controls (HC) [2]. Method This cross-sectional sub-study included 32 DKD subjects with measured GFR (mGFR) ≤ 60 ml/ min/1.73 m2 and stratified into the following GFR stages as per the Kidney Disease Improving Global Outcomes (KDIGO) classification: stage G3a (mGFR 45-59 ml/ min/1.73 m2, n = 3), G3b (mGFR 30-44 ml/ min/1.73 m2, n = 8), G4 (mGFR 15-29 ml/ min/1.73 m2, n = 15), G5 (<15 ml/ min/1.73 m2, n = 6), and 18 age-, gender-matched HC with mGFR ≥ 60 ml/min/1.73 m2. All subjects were 18-79 years old. mGFR was assessed using iohexol clearance. Renal blood flow (RBF) (ml/min) was measured by a 5-minute add-on phase contrast MRI of the renal artery of each kidney and then summed together. RBF was corrected for Body Surface Area. RPF and FF were calculated as below: ${\rm{RPF }} = {\rm{ RBF}} \times \ ( {1\ -{\rm{ Hematocrit}}} )$ ${\rm{FF}} = {\rm{mGFR}}/{\rm{RPF}}$ Results RBF and mGFR were highly correlated (R2 = 0.70, Fig. 1). FF was 17.1% for HC and decreased with increasing degrees of renal impairment (Fig. 2). While the difference between HC and G3a DKD group was not significant, there was highly significant difference between HC and all other DKD groups (p < 0.001). The standard deviation in the G3a group was relatively large with only 3 subjects in this group. Conclusion The phase contrast MRI scan can provide a quick and simple measurement of glomerular hemodynamics and therewith further insights into the pathophysiology of DKD and its progression. Given the limitations of the existing method for assessing renal plasma flow, this MRI method can facilitate the inclusion of filtration fraction in DKD clinical trials. Further, the described method could be used to identify hyperfiltration, a compensatory mechanism that can influence results in clinical trials of DKD.

#2903 Comprehensive lipidomic analysis reveals further insights into the molecular mechanism of podocyte lipotoxicity in Alport syndrome

Abstract Background and Aims The accumulation of lipids in podocytes has been shown to be a mediator of kidney injury in diabetic kidney disease (DKD). Recent animal studies have shown evidence of podocyte lipotoxicity in Alport syndrome (AS). First, discoidin domain receptor 1 (DDR1) is overactivated by excessive accumulation of α1 chain type 1 collagen in AS resulting in CD36 activation, producing direct podocyte injury by increasing reuptake of free fatty acids (FFAs). Furthermore, local overexpression of glomerular tumor necrosis factor has been observed in AS, which produces suppression of ABCA1, which affects mitochondrial function and decreases cholesterol efflux from podocytes, causing an accumulation of cholesterol and podocyte lipotoxicity. This study aimed to compare serum and urine lipidome variation between patients with AS and patients with DKD compared to healthy controls to explore the underlying molecular mechanisms of podocyte lipotoxicity in AS. Method A total of 63 samples from AS patients (COL4A3/4, n = 50, COL4A5, n = 13) were employed for this study, and compared to 15 samples from DKD patients and 20 samples from healthy volunteers considered as controls. We performed an untargeted lipidomics analysis to cover the broader spectrum of plasma and urine lipidome. Samples were analyzed by using an Agilent 1290 Infinity II Ultra-High-Performance Liquid-Chromatography system coupled to an Agilent 6546 Quadrupole Time-of-Flight Mass Spectrometer equipped with dual Agilent Jet Stream Electrospray ion source. For plasma samples, raw data matrix underwent normalization for sequence intensity correction based on the QC samples by using the support vector regression. For urine samples, normalization was performed using the Probabilistic Quotient Normalization to account for unwanted variance due to sample preparation and the analytical run. Results We generated a heatmap employing hierarchical clustering to visually represent the distinctions in statistically significant lipids across AS COL4A3/4, AS COL4A5, and DKD groups compared to the healthy control group, categorized by classes. Figure 1 summarizes the results of our study. In urine samples, a distinct decrease in acylcarnitines is evident in AS COL4A3/4 and AS COL4A5. Regarding the fatty acid (FA) lipid class, there is an increased general trend. FA 20:3 shows a meaningful increase in AS COL4A3/4 and DKD compared to the healthy control group, whereas in AS COL4A5, the trend of this lipid species is to decline when compared with COL4A3/4 and DKD levels. Concerning plasma samples, different trends were observed in AS COL4A3/4 and DKD depending on specific lipid species, while general reduced levels were reported in AS COL4A5. The phosphatidylcholine (PC) lipid species, implicated in various biological functions, display a drastic increase in the DKD urine group compared to the healthy control. The same trend is followed by AS COL4A3/4 and AS COL4A5 urine groups, with relatively similar data. Among the sphingolipids class, in urine, the overall trend of sphingomyelins (SM) for both AS COL4A3/4 and AS COL4A5 indicates a decrease in the levels of the statistically significant lipid species, with relatively similar levels between them. The neutral sphingolipids (HexCer) experience a general decrease in AS COL4A3/4, AS COL4A5 and DKD urine samples compared to the healthy control group. Lastly, the ceramides (Cer) follow a decreasing trend, where the most remarkable differences could be observed in the DKD urine group compared to the healthy controls. Conclusion Overall, the present study provided new insights into the mechanism of podocyte lipotoxicity in patients with AS. Increased specific plasma Cer and SM that are responsible for correct COL4A1 and COL4A2 formation might be responsible for aberrant COL1 expression DDR1 activation. Furthermore, specific essential FFAs that are involved in collagen synthesis are increased in AS, and might be indicating aberrant CD36 levels increasing their levels and enhancing their accumulation. Increased ABCA1 efflux activity is evident in higher extracellular levels of PC observed in urine samples from patients with AS.

A single-cell profile reveals the transcriptional regulation responded for Abelmoschus manihot (L.) treatment in diabetic kidney disease

BackgroundHuangkui capsule (HKC), as an ethanol extract of Abelmoschus manihot (L.), has a significant efficacy in treatment of the patients with diabetic kidney disease (DKD). The bioactive ingredients of HKC mainly include the flavonoids such as rutin, hyperoside, hibifolin, isoquercetin, myricetin, quercetin and quercetin-3-O-robinobioside. PurposeTo explore the molecular mechanisms of A. manihot in treatment of DKD. Study designA single-cell RNA sequencing analysis of kidneys in db/db mice with and without HKC administration. MethodsUrinary biochemical and histopathological examination in C57BL/6 and db/db mice of DKD and HKC groups was done. Single-cell RNA sequencing pipeline was then performed. The regulatory mechanisms of seven flavonoids in HKC were revealed by cell communication, prediction of transcription factor regulatory network, and molecular docking. ResultsBy constructing ligand-receptor regulatory network and performing molecular docking between 75 receptors with different activities and seven flavonoids. 11 key receptors in 4 cell types (segment 3 proximal convoluted tubular cell, ascending limbs of the loop of Henle, distal convoluted tubule, and T cell) in kidneys were found to be directly interacted with HKC. The interactions regulated 8 downstream regulons. The docking receptors in T cell led to transcriptional event differences in the regulons such as Cebpb, Rel, Tbx21 and Klf2 and consequently affected the activation, differentiation, and infiltration of T cell, while the receptors Tgfbr1 and Ldlr in stromal cells of kidneys were closely associated with the downstream transcriptional events of renal injury and proteinuria in DKD. ConclusionThe current study provides novel information of the key receptors and regulons in renal cells for a better understanding of the cell type specific molecular mechanisms of A. manihot in treatment of DKD.

Effect of proteinuria on the rapid kidney function decline in chronic kidney disease depends on the underlying disease: A post hoc analysis of the BRIGHTEN study

AimsIt is unclear whether the effect of proteinuria on rapid kidney function decline is equivalent among diabetic kidney disease (DKD), non-DKD with diabetes (NDKD+DM), and nephrosclerosis without diabetes (NS-DM), particularly in advanced chronic kidney disease patients. MethodsIn total, 1038 chronic kidney disease patients who participated in the BRIGHTEN study were included in the present study. A linear mixed effect model was applied to estimate the annual estimated glomerular filtration rate decline in each disease group. ResultsThe prevalence of rapid decliners (rapid kidney function decline, defined as an eGFR loss of > 5 mL/min/1.73 m2/year) in the DKD group (44.6 %) was significantly higher compared with the NDKD+DM (27.9 %) and NS-DM (27.0 %) groups. By contrast, the prevalence of rapid decliners in different urine total protein to creatinine ratio (UPCR) categories (<0.5, 0.5 to < 1.0, 1.0 to < 3.5, and ≥ 3.5 g/g) were equivalent between the DKD and NS-DM groups. Moreover, the prevalence of a UPCR < 1.0 g/g in rapid decliners of the NS-DM group was more than double than in those of the DKD and NDKD+DM groups. ConclusionsThe risk of rapid kidney function decline in NS-DM patients with low levels of proteinuria may be greater than initially predicted.

Plantaginis semen ameliorates diabetic kidney disease via targeting the sphingosine kinase 1/sphingosine-1-phosphate pathway

Ethnopharmacological relevancePlantaginis Semen (PS) is widely utilized as a common herb in several Asian countries, particularly China, due to its diuretic, anti-hypertensive, anti-hyperlipidemic, and anti-hyperglycemic properties. Furthermore, it is acknowledged for its ability to mitigate renal complications associated with metabolic syndrome. Despite its extensive usage, there is limited systematic literature elucidating its therapeutic mechanisms, thus emphasizing the necessity for comprehensive investigations in this field. AimThis study aims to comprehensively evaluate the therapeutical potential of PS in treating diabetic kidney disease (DKD) and to elucidate the underlying mechanisms through in vivo and in vitro models. MethodsThe main composition of PS were characterized using the UPLC-QTOF-MS method. For the in vivo investigation, a mouse model mediated by streptozocin (STZ) associated with a high-fat diet (HFD) and unilateral renal excision was established. The mice were split into 6 groups (n = 8): control group (CON group), DKD group, low-dose of Plantago asiatica L. seed extract group (PASE-L group, 3 g/kg/d), medium-dose of PASE group (PASE-M, 6 g/kg/d), high-dose of PASE group (PASE-H, 9 g/kg/d), and positive drug group (valsartan, VAS group, 12 mg/kg/d). After 8 weeks of treatment, the damage induced by DKD was evaluated by using relevant parameters of urine and blood. Furthermore, indicators of inflammation and factors associated with the SphK1-S1P signaling pathway were investigated. For the in vitro study, the cell line HBZY-1 was stimulated by high glucose (HG), they were then co-cultured with different concentrations of PASE, and the corresponding associated inflammatory and sphingosine kinase 1/sphingosine-1-phosphate (SphK1-S1P) factors were examined. ResultsA total of 59 major components in PS were identified, including flavonoids, iridoids, phenylethanol glycosides, guanidine derivatives, and fatty acids. In the mouse model, PS was found to significantly improve body weight, decrease fasting blood glucose (FBG) levels, increased glucose tolerance and insulin tolerance, improved kidney-related markers compared to the DKD group, pathological changes in the kidneys also improved dramatically. These effects showed a dose-dependent relationship, with higher PASE concentrations yielding significantly better outcomes than lower concentrations. However, the effects of the low PASE concentration were not evident for some indicators. In the cellular model, the high dose of PASE suppressed high glucose (HG) stimulated renal mesangial cell proliferation, suppressed inflammatory factors and NF-κB, and decreased the levels of fibrillin-1(FN-1) and collagen IV(ColIV). ConclusionOur results indicate that PS exerts favorable therapeutic effects on DKD, with the possible mechanisms including the inhibition of inflammatory pathways, suppression of mRNA levels and protein expressions of SphK1 and S1P, consequently leading to reduced overexpression of FN-1 and ColIV, thereby warranting further exploration.

Diabetic kidney disease as an independent predictor of long-term adverse outcomes in patients with coronary artery disease and diabetic mellitus.

Diabetic kidney disease (DKD) had been proposed as a contributor in the pathogenesis of coronary artery disease (CAD). However, the relationship of DKD and the long-term adverse outcomes in patients with CAD after percutaneous coronary intervention (PCI) was still undiscovered. Approximately 892 patients with CAD enrolled from January 2012 to December 2016. The patients were divided into two groups, the DKD group (n = 341) and the None DKD group (n = 551). The primary outcome was major adverse cardiac events (MACE) after PCI. The average follow-up time was 1,897 ± 1,276 days. Baseline data showed that some factors were significantly different between the two groups, including age, body mass index, gender (female), hypertension, smoking, stroke history, heart failure, duration of diabetic mellitus (DM), low-density lipoprotein cholesterol, urinary protein/creatinine ratio, serum creatinine, hemoglobin, platelet, antiplatelet, beta blocker, statin, antihypertensive drugs, and insulin (all p < 0.005). There were significant differences between the two groups in MACE, 40.3% vs. 52.2% (p = 0.001), and in cardiovascular death events and all-cause death events (5.6% vs. 20.5%, p < 0.001 and 4.4% vs. 13.5%, p < 0.001, respectively). In the DKD group, the risk of MACE was elevated to 141.9% [hazard ratio (HR) = 1.419, 95% confidence interval (CI): 1.164-1.730, p = 0.001] in the Cox univariable regression analyses; after adjusting co-variables, the Cox multivariable regression analyses demonstrated that DKD was an independent predictor for MACE (HR = 1.291, 95% CI: 1.027-1.624, p = 0.029) in patients with CAD after PCI, as well as in cardiovascular death events (HR = 2.148, 95% CI: 1.292-3.572, p = 0.003) and all-cause death events (HR = 2.229, 95% CI: 1.325-3.749, p = 0.003). This study suggests that DKD is an independent and novel predictor of long-term adverse outcomes in patients with CAD and DM who underwent PCI.

Correlation between weight variability and the risk of diabetic nephropathy in patients with type 2 diabetes mellitus

Objective: To evaluate the relationship between different indexes of weight variability and the risk of diabetic kidney disease (DKD) in patients with type 2 diabetes mellitus (T2DM). Methods: A retrospective cohort study. The clinical data of 2 180 T2DM patients without DKD who underwent case management at Lee's United Clinic in Taiwan, China from 2002 to 2018 were retrospectively analyzed, including 1 103 females and 1 077 males, with an average age of (64.8±12.4) years. Regular follow-up was conducted for patients for at least 2 years, and their metabolic indexes were monitored annually. BMI variability independent of the mean (BMI-VIM), average yearly mean square successive difference (BMI-ASV), coefficient of variation (BMI-CV) and standard deviation (BMI-SD) were calculated,based on the body mass index (BMI) recorded annually by the patients. Patients were divided into four groups (Q1-Q4) based on the quartiles of the four weight variability indexes. DKD group and non-DKN group(NDKD group) were defined based on the occurrence of DKD at the end of the follow-up. Cox proportional hazards regression models were used to analyze the relationship between the four weight variability indicators and the incidence of DKD. Subgroup analysis was performed by categorizing patients into non-obesity (BMI<28 kg/m2) and obesity groups (BMI≥28 kg/m2) to investigate the impact of the four weight variability indicators on the risk of DKD. Results: After a follow-up of (4.55±2.13) years, 904 patients developed DKD. Compared with the NDKD group, patients in the DKD group had a higher proportion of females, older age, longer duration of diabetes, more insulin users, higher waist-to-hip ratio, higher levels of BMI-VIM, BMI-ASV, BMI-CV, BMI-SD, systolic blood pressure, diastolic blood pressure, and urine albumin-creatinine ratio, a lower proportion of hypoglycemic drugs, estimated glomerular filtration rate, and high-density lipoprotein cholesterol level, with statistically significant differences between the two groups(all P<0.05). Cox proportional hazards regression analysis results revealed that the risk of DKD in T2DM patients increased with the increase in BMI-SD, BMI-CV, BMI-VIM, and BMI-ASV after correcting a series of influencing factors. In the BMI-VIM subgroup, compared with the Q1 group, the risk of DKD in the Q4 group increased by 22.4% [HR=1.224 (95%CI:1.008-1.487), P=0.041]. In the BMI-ASV group, compared with the Q1 group, the risk of DKD in the Q4 group increased by 51.1% [HR=1.511 (95%CI:1.240-1.841), P<0.01]. In the BMI-CV group, compared with the Q1 group, the risk of DKD in the Q4 group increased by 22.2% [HR=1.222 (95%CI:1.006-1.485), P=0.044]. In the BMI-SD subgroup, compared with the Q1 group, the risk of DKD in the Q4 group increased by 22.2% [HR=1.222 (95%CI:1.002-1.490), P=0.048]. Sub-group analysis showed that when the non-obesity group was grouped by BMI-ASV, after correcting a series of influencing factors, compared with the Q1 group, the highest risk of DKD occurred in the Q4 group [HR=1.551 (95%CI:1.228-1.958), P<0.001];when the obesity group was grouped by BMI-ASV, after correcting a series of influencing factors, compared with the Q1 group, the highest risk of DKD occurred in the Q4 group [HR=1.703 (95%CI:1.168-2.485), P=0.006]. Conclusion: Increases in BMI-VIM, BMI-ASV, BMI-CV, and BMI-SD are associated with an increased risk of DKD in T2DM patients.

Plasma levels and dietary intake of minerals in patients with type 2 diabetes and chronic kidney disease: A case-control study

Background and aimDiabetic kidney disease (DKD) is the primary cause of chronic kidney disease (CKD) worldwide. Altered mineral levels leading to adverse outcomes are widely reported in diabetes but limited in DKD, in the Indian scenario, hence this study was taken up to address this issue. MethodsA hospital-based case-control study was taken up with 54 healthy controls (C) and 140 subjects with type 2 diabetes wherein 74 subjects with diabetes and CKD formed the DKD group, and 66 subjects with diabetes but no CKD formed the diabetic no-chronic kidney disease (DNCKD) group. High-resolution inductively coupled plasma mass spectrometry was used to evaluate the blood levels of minerals (calcium (Ca), vanadium (V), chromium (Cr), manganese (Mn), iron (Fe), cobalt (Co), copper (Cu), zinc (Zn), and selenium (Se)), and a raw food-based food frequency questionnaire for dietary intakes. Estimated glomerular filtration rate (eGFR) was calculated using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation (mL/min/1.73 m2) and albuminuria. Spearman’s rank correlation was used to evaluate the relationship between the categorical variables. ResultsThe median values of plasma Ca in the DKD group were significantly lower compared with the DNCKD and C groups (10.5 mg/dL vs. 11.0 mg/dL and 11.7 mg/dL, p<0.001). Furthermore, plasma Ca levels lowered with declining kidney function, as evidenced by the eGFR and albuminuria segregation. Dietary intake of minerals did not correlate with the corresponding plasma levels. However, in the DKD group, eGFR correlated positively with the plasma levels of Ca (r= 0.422, p=0.001), Cr (r= 0.351, p=0.008), Mn (r= 0.338, p=0.011), Fe (r= 0.403, p=0.002), Cu (r= 0.274, p=0.041) and negatively with Se (r= −0.486, p<0.001). ConclusionPlasma Ca levels are lower in the DKD group with a strong positive association with eGFR, indicating its role in predicting the onset and progression of kidney function decline.

Co-differential genes between DKD and aging: implications for a diagnostic model of DKD.

Diabetic kidney disease (DKD) is a serious complication of diabetes mellitus (DM) that is closely related to aging. In this study, we found co-differential genes between DKD and aging and established a diagnostic model of DKD based on these genes. Differentially expressed genes (DEGs) in DKD were screened using GEO datasets. The intersection of the DEGs of DKD and aging-related genes revealed DKD and aging co-differential genes. Based on this, a genetic diagnostic model for DKD was constructed using LASSO regression. The characteristics of these genes were investigated using consensus clustering, WGCNA, functional enrichment, and immune cell infiltration. Finally, the expression of diagnostic model genes was analyzed using single-cell RNA sequencing (scRNA-seq) in DKD mice (model constructed by streptozotocin (STZ) injection and confirmed by tissue section staining). First, there were 159 common differential genes between DKD and aging, 15 of which were significant. These co-differential genes were involved in stress, glucolipid metabolism, and immunological functions. Second, a genetic diagnostic model (including IGF1, CETP, PCK1, FOS, and HSPA1A) was developed based on these genes. Validation of these model genes in scRNA-seq data revealed statistically significant variations in FOS, HSPA1A, and PCK1 gene expression between the early DKD and control groups. Validation of these model genes in the kidneys of DKD mice revealed that Igf1, Fos, Pck1, and Hspa1a had lower expression in DKD mice, with Igf1 expression being statistically significant. Our findings suggest that DKD and aging co-differential genes are significant in DKD diagnosis, providing a theoretical basis for novel research directions on DKD.

Efficacy and safety of daratumumab, pomalidomide, and dexamethasone versus daratumumab, carfilzomib, and dexamethasone in daratumumab-naïve relapsed multiple myeloma.

We conducted a multicenter retrospective study to analyze the safety and efficacy of DPd versus DKd in daratumumab naïve RRMM patients treated in real-world practice. A total of 187 patients with RRMM were included in the analysis; 128 patients received DPd, and 59 patients received DKd. A vast majority (80%) of patients had lenalidomide refractory disease and nearly 50% had bortezomib refractory disease. The overall response and complete response rates were 76% and 34% in the DPd group versus 80% and 51% in the DKd group, respectively. With a median follow up of 36 months for the entire patient population, median PFS and OS in the DPd versus DKd groups were 12, 12, 37, and 35 months, respectively. The most common grade 3+ adverse events in the DPd versus DKd groups were neutropenia (32% vs. 7%), anemia (14% vs. 10%), thrombocytopenia (13% vs. 15%), and cardiovascular events (4% vs. 15%), respectively. Both DPd and DKd appeared to be a safe and effective treatment options for RRMM. While there were more cytopenias associated with DPd and more cardiovascular side effects with DKd, there were no significant differences in the survival outcomes with these two regimens.

Association between ELMO1 gene polymorphisms and diabetic kidney disease: A systematic review and meta-analysis.

Previous research has suggested that the ELMO1 gene may play a role in the development of diabetic kidney disease. Diabetic kidney disease (DKD) is a serious complication of diabetes and the leading cause of chronic kidney disease and end-stage renal disease (ESRD). This study aim was to systematically review and explore the association between ELMO1 gene polymorphisms and diabetic kidney disease. A comprehensive systematic review provides a clear conclusion and high-level evidence for the association between ELMO1 gene and DKD for future application in personalized medicine. A comprehensive search of electronic databases, per PRISMA instructions, was conducted in Scopus, EMBASE, Web of Science, and PubMed databases from 1980 to January 2023. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using appropriate models. Subgroup and sensitivity analyses were performed to explore potential sources of heterogeneity and assess the robustness of the findings. A total of 5794 diabetes patients with DKD, 4886 diabetes patients without DKD, and 2023 healthy controls were included in the 17 studies that made up this systematic review. In the investigation of DM (Diabetes Mellitus) with DKD vs. DM without DKD, the susceptibility for DKD for the EMLO1 rs741301 polymorphism indicated a significant difference under the dominant, homozygote, and recessive genetic models. The susceptibility for DKD for the EMLO1 rs1345365, rs10255208, and rs7782979 polymorphisms demonstrated a significant difference under the allele genetic models in the analysis of DM with DKD vs. DM without DKD groups. There was a considerable increase in DKD risk in the Middle East when the population was stratified by the region. The findings of the meta-analysis show that there are a significant connection between the EMLO1 rs741301 polymorphism and DKD susceptibility in overall analyses; as well as rs1345365, rs10255208, and rs7782979 polymorphisms; especially in the Middle East region.

Single‐Cell Transcriptomic Analysis Reveals the Alleviating Effect of Anemoside B4 on Murine Diabetic Nephropathy

AbstractIn diabetic kidney disease (DKD), inflammation exacerbated by oxidative stress (ROS) is pivotal. This study investigates the impact of Anemoside B4 (B4), an anti‐inflammatory drug, on kidney cell populations in DKD mice using single‐cell RNA sequencing (scRNA‐seq) and mass spectrometry‐based proteomics, focusing on its hypoglycemic, anti‐inflammatory, and anti‐fibrotic properties. Compared to the DKD group, B4 treatment reduces blood lipid metabolism levels, renal inflammation, and fibrosis in mice. Through scRNA‐seq, 14 distinct renal cell clusters are identified, primarily proximal tubular (PT) cells. In DKD mice, PT subtype cells exhibited elevated SPP1 expression, promoting macrophage M1 polarization, inflammatory cell infiltration, and renal fibrosis—all reversed by B4. Macrophage analysis revealed enrichment of the marker gene interlukin‐1β (IL‐1β) in renal macrophage polarization during diabetic nephropathy. B4 effectively mitigated macrophage polarization, alleviating inflammation and fibrosis, confirmed by Western blot. Fibroblast analysis demonstrated reduced fibrosis with B4 treatment, consistent with hematoxylin and eosin staining and Immunofluorescence findings. Notably, oxidative stress contributed to these changes. In conclusion, B4 alleviated kidney inflammation and fibrosis in DKD mice by mitigating macrophage polarization and addressing oxidative stress, providing valuable insights into its multifaceted therapeutic potential.

Urinary exosomal microRNA-145-5p and microRNA-27a-3p act as noninvasive diagnostic biomarkers for diabetic kidney disease.

Diabetic kidney disease (DKD), characterized by increased urinary microalbumin levels and decreased renal function, is the primary cause of end-stage renal disease. Its pathological mechanisms are complicated and multifactorial; Therefore, sensitive and specific biomarkers are needed. Urinary exosome originate from diverse renal cells in nephron segments and partially mirror the pathological changes in the kidney. The microRNAs (miRNAs) in urinary exosome are remarkably stable and highly tissue-specific for the kidney. To determine if urinary exosomal miRNAs from diabetic patients can serve as noninvasive biomarkers for early DKD diagnosis. Type 2 diabetic mellitus (T2DM) patients were recruited from the Second Hospital of Hebei Medical University and were divided into two groups: DM, diabetic patients without albuminuria [urinary albumin to creatinine ratio (UACR) < 30 mg/g] and DKD, diabetic patients with albuminuria (UACR ≥ 30 mg/g). Healthy subjects were the normal control (NC) group. Urinary exosomal miR-145-5p, miR-27a-3p, and miR-29c-3p, were detected using real-time quantitative polymerase chain reaction. The correlation between exosomal miRNAs and the clinical indexes was evaluated. The diagnostic values of exosomal miR-145-5p and miR-27a-3p in DKD were determined using receiver operating characteristic (ROC) analysis. Biological functions of miR-145-5p were investigated by performing Gene Ontology analysis and Kyoto Encyclopedia of Genes and Genomes pathway enrichment. Urinary exosomal expression of miR-145-5p and miR-27a-3p was more upregulated in the DKD group than in the DM group (miR-145-5p: 4.54 ± 1.45 vs 1.95 ± 0.93, P < 0.001; miR-27a-3p: 2.33 ± 0.79 vs 1.71 ± 0.76, P < 0.05) and the NC group (miR-145-5p: 4.54 ± 1.45 vs 1.55 ± 0.83, P < 0.001; miR-27a-3p: 2.33 ± 0.79 vs 1.10 ± 0.51, P < 0.001). The exosomal miR-145-5p and miR-27a-3p positively correlated with albuminuria and serum creatinine and negatively correlated with the estimated glomerular filtration rate. miR-27a-3p was also closely related to blood glucose, glycosylated hemoglobin A1c, and low-density lipoprotein cholesterol. ROC analysis revealed that miR-145-5p had a better area under the curve of 0.88 [95% confidence interval (CI): 0.784-0.985, P < 0.0001] in diagnosing DKD than miR-27a-3p with 0.71 (95%CI: 0.547-0.871, P = 0.0239). Bioinformatics analysis revealed that the target genes of miR-145-5p were located in the actin filament, cytoskeleton, and extracellular exosome and were involved in the pathological processes of DKD, including apoptosis, inflammation, and fibrosis. Urinary exosomal miR-145-5p and miR-27a-3p may serve as novel noninvasive diagnostic biomarkers or promising therapeutic targets for DKD.

Novel ferroptosis gene biomarkers and immune infiltration profiles in diabetic kidney disease via bioinformatics.

Diabetic kidney disease (DKD) is the primary cause of end-stage renal disease, exhibiting high disability and mortality rates. Ferroptosis is vital for the progression of DKD, but the exact mechanism remains unclear. This study aimed to explore the potential mechanism of ferroptosis-related genes in DKD and their relationship with the immune and to identify new diagnostic biomarkers to help treat and diagnose DKD. GSE30122 and GSE47185 were obtained from the Gene Expression Omnibus database and were integrated into a merged dataset, followed by functional enrichment analysis. Then potential differentially expressed genes were screened. Ferroptosis-related differentially-expressed genes were identified, followed by gene ontology analysis. Protein-protein interaction networks were constructed and hub genes were screened. The immune cell-infiltrating state in the dataset was assessed using appropriate algorithms. Immune signature subtypes were constructed using the consensus clustering analysis. Hub gene expression was validated using qRT-PCR and immunohistochemistry. A total of Eleven screened ferroptosis-related differentially expressed genes were screened. Six potentially diagnostically favorable ferroptosis-related hub genes were identified. Significantly increased expression of γδT cells, resting mast cells, and macrophages infiltration was observed in the DKD group. Additionally, two distinct immune signature subgroups were identified. Ferroptosis-related hub genes were significantly correlated with differentially infiltrated immune cells. Six hub genes were significantly upregulated in HK-2 cells following high glucose treatment and in human kidney tissues of patients with DKD. Six ferroptosis-related hub genes were identified as potential biomarkers of diabetic kidney disease, but further validation is needed.

Correlations of Serum Retinol-Binding Protein and Stromal Cell-Derived Factor-1 with Renal Function in Patients with Diabetic Kidney Disease.

The aim is to investigate the correlations of serum retinol-binding protein (RBP) and stromal cell-derived factor-1 (SDF-1) with renal function in patients with diabetic kidney disease (DKD). A total of 438 patients with type 2 diabetes mellitus (T2DM) treated from October 2017 to October 2020 were enrolled in this prospective study and divided into simple T2DM and DKD groups. According to urinary albumin-to-creatinine ratio (UACR), DKD patients were divided into moderate, severe, and nephrotic groups. They were assigned to one of the following categories of estimated glomerular filtration rate (eGFR): G1, G2, G3a, G3b, G4, and G5 stages. The correlations of RBP and SDF-1 with renal function were analyzed. The DKD group had a longer T2DM course and higher RBP, uric acid (UA), blood urea nitrogen (BUN), β2-microglobulin (β2-MG), serum creatinine (Scr) levels and UACR, and lower SDF-1 level and eGFR than those of simple T2DM group (p < 0.05). The areas under the receiver operating characteristic curves of RBP and SDF-1 for identifying DKD were 0.903 and 0.868, and the optimal cutoff values were 70.71 mg/L and 5.69 ng/mL, respectively. With increasing urinary albumin and clinical stage, RBP, UA, BUN, β2-MG and Scr levels and UACR significantly rose, while SDF-1 level and eGFR declined (p < 0.05). In patients with DKD, RBP was correlated positively with UACR, UA, BUN, β2-MG, and Scr (r = 0.764/0.787/0.693/0.577/0.801, p < 0.0001), and negatively with eGFR (r = -0.782, p < 0.0001). SDF-1 was correlated negatively with UACR, UA, BUN, β2-MG and Scr (r = -0.744/-0.794/-0.666/-0.605/-0.820, p < 0.0001), and positively with eGFR (r = 0.767, p < 0.0001). The multiple linear regression equation was RBP = 29.852 + 0.007 x UACR + 0.101 x UA + 0.497 x BUN + 0.034 x Scr-0.083 x eGFR (p < 0.001). RBP and SDF-1 can identify DKD in patients with T2DM, and the degree of renal function damage is correlated positively with RBP and negatively with SDF-1. Elevated levels of UA, BUN, Scr and UACR as well as reduced eGFR are risk factors for evaluating RBP.

Clinical Evidence of the Relationship Between Alanine Aminotransferase and Diabetic Kidney Disease.

Multiple studies have investigated the association between alanine aminotransferase (ALT) and diabetes mellitus (DM); however, only a few studies have specifically examined the relationship between ALT and diabetic kidney disease (DKD). This study aimed to investigate the relationship between ALT and DKD using clinical data. A cross-sectional study was conducted on 668 individuals that included non-DM (N=281), DM without DKD (N=160), and DKD (N=227) patients. A generalized additive model (GAM) was used to examine the dose-response relationship between ALT and DKD risk. We also analyzed the data from the US National Health and Nutrition Examination Survey (NHANES) 2015-2018 using the same statistical methods; 4481, 1110, and 671 individuals were included in the non-DM, DM without DKD, and DKD groups, respectively. The changes in ALT activity among the non-DM, DM without DKD, and DKD groups showed a similar pattern in both our clinical data and the NHANES dataset. ALT activity increases with the onset of DM, whereas ALT activity decreases when DM progresses to DKD. The GAM revealed a nonlinear U-shaped relationship between ALT and DKD risk in the two datasets, and the lowest range of ALT was 40-50 IU/L. Both lower (<40 IU/L) and higher (>50 IU/L) ALT activity were found to be positively associated with DKD risk. A U-shaped nonlinear association between ALT and DKD was found in our clinical data and NHANES data. DKD risk was increased by both lower or higher ALT activity. To confirm the causality of nonlinear relationship, larger prospective studies or Mendelian randomization analysis are required.

The role of angiotensin converting enzyme (insertion)/(deletion) and angiotensin II type 1 receptor (A1166C) gene polymorphisms in antiproteinuric effect of ACE inhibitors in type 2 diabetic Iraqi patients

The angiotensin converting enzyme (ACE) I\D gene polymorphism influences the blood ACE enzyme activity. Renoprotective effect of ACE inhibitors (ACEIs) varies among patients due to genetic variation, particularly in Renin-Angiotensin-Aldosterone System genes. This study investigates the genetic variations of ACE I\D and AGT1RA1166C gene polymorphisms in the antiproteinuric effect of ACEI therapy in type 2 diabetes mellitus (T2DM) patients. This is a cross-sectional study that included 76 T2DM patients who are ACEI users, divided into two groups: T2DM without diabetic kidney disease (DKD) included 31 patients, and T2DM with DKD included 45 patients. Urine samples were taken for measurement of urine albumin and creatinine, then calculation of albumin-creatinine ratio (ACR). Blood samples were taken for the measurement of serum parameters and also for the extraction of DNA for genetic evaluation of ACEI/D and AGT1RA1166C gene polymorphisms. The results reveal that T2DM patients carrying the ID genotype have significantly lower ACE1 levels compared to DD and II carriers (p = 0.012). When grouping patients according to the ACR, serum ACE1 and angiotensin-converting enzyme 2 (ACE2) levels were higher in DKD compared to normalbuminuric patients, with the only significant difference for ACE2. After subdividing according to ACE I\D genotypes, the ACE2 differences were only significant in DD genotype carriers (p = 0.049) between DKD and normalbuminuric groups. While for AGT1RA1166C polymorphisms, the AC genotype shows non-significantly lower levels for ACE1 and ACE2. After subdividing according to AGT1RA1166C genotypes, ACE2 levels were significantly higher in DKD patients carrying the AA genotype (p = 0.015). Binary logistic regression analysis revealed that both ACE (I\D) and AGT1RA1166C genes are significant predictors of ACE1 levels after controlling age, gender, and DKD state. This study concluded that both genes are predictors of ACE1 levels; in addition, ID genotype carriers and AC genotype carriers had lower ACE1 and ACE2 levels with lower ACR and higher glomerular filtration rate, identifying better ACEIs responses in ID and AC carriers.

Intestinal Trefoil Factor 3: a new biological factor mediating gut-kidney crosstalk in diabetic kidney disease.

To investigate the effect of TFF3 in the pathogenesis of Diabetic Kidney Disease (DKD), and explore the dynamic changes of TFF3 expression pattern in renal injury process. DKD animal model was established by streptozotocin (STZ) (40 mg/kg/d, ip, for 5 days, consecutively) combined with the high fat diet (HFD) for 12 weeks. While animals were sacrificed at different time stages in DKD process (4 weeks, 8 weeks and 12 weeks, respectively). STZ combined with high-fat diet induced weight gain, increased blood glucose and decreased glucose tolerance in DKD mice. Compared to the control group, the DKD group exhibits extracellular matrix (ECM) accumulation and the renal injury was aggravated in a time-dependent manner. The TFF3 expression level was decreased in kidney, and increased in colon tissue. TFF3 is not only expressed in colon, but also expressed in renal medulla and cortex. TFF3 might be play a pivotal role in renal mucosal repair by gut-kidney crosstalk, and protect renal from high glucose microenvironment damage.

Clinical value of noninvasive lens advanced glycation end product detection in early screening and severity evaluation of patients with diabetic kidney disease

BackgroundAdvanced glycation end products (AGEs) deposited in the lens are correlated with those in the kidneys, indicating a possible value in evaluating diabetic kidney disease (DKD). This study explored the value of noninvasively measuring lens AGEs to diagnose and evaluate the severity of diabetic nephropathy in patients with type 2 diabetes mellitus (T2DM).MethodologyA total of 134 T2DM patients admitted to the Fifth People's Hospital of Shanghai from March 2020 to May 2021 were selected randomly. Patients were divided into low-, medium-and high-risk groups according to the risk assessment criteria for DKD progression and into DKD and non-DKD (non-DKD) groups according to the Guidelines for the Prevention and Treatment of Diabetic Nephropathy in China. The concentrations of noninvasive AGEs in the lens in all the groups were retrospectively analyzed.ResultsThe concentration of noninvasive lens AGEs in the high-risk patients, according to the 2012 guidelines of the Global Organization for Improving the Prognosis of Kidney Diseases, was significantly higher than that in the remaining groups. Regression analysis suggested the value of lens AGEs in diagnosing DKD and evaluating DKD severity. Cox regression analysis indicated that the noninvasive lens AGE concentration was positive correlated with the course of disease.ConclusionThe receiver operating characteristic (ROC) curve suggested that using noninvasive lens AGE measurements has clinical value in the diagnosis of DKD (area under the curve 62.4%,95% confidence interval (CI) 52.4%–73.9%, p = 0.014) and in assessing the severity of DKD (area under the curve 83.2%, 95% CI 74.1%–92.3%, P < 0.001). Noninvasive lens AGE testing helps screen T2DM patients for DKD and evaluate the severity of DKD.

Coagulation Function and Type 2 Diabetic Kidney Disease: A Real-World Observational Study

Objectives. Type 2 diabetic kidney disease (DKD), a chronic microvascular complication of diabetes, may exhibit a complex interrelation with coagulation function. This study is aimed at elucidating the association between coagulation function and DKD. Methods. This was a real-world observational study conducted in Beijing, involving 2,703 participants. All patients with diabetes were classified into two groups, viz., DKD and non-DKD groups. Effect magnitudes are denoted as odds ratios (OR) with a 95% confidence interval (CI). To mitigate potential bias in group comparisons, we employed propensity score matching (PSM). Results. After adjusting for variables such as age, gender, systolic blood pressure (SBP), hemoglobin A1c (HbA1c), triglyceride (TG), c-reactive protein (CRP), platelet (PLT), and serum albumin (sALB), it was discerned that fibrinogen (FIB) (OR, 95% CI, P : 1.565, 1.289-1.901, &lt;0.001) and fibrinogen degradation products (FDP) (1.203, 1.077-1.344, 0.001) were significantly correlated with an increased risk of DKD. To facilitate clinical applications, a nomogram prediction model was established, demonstrating commendable accuracy for DKD prediction. Conclusions. Our findings suggest that elevated levels of FIB and FDP serve as potential risk indicators for DKD, and coagulation function may play an important role in the occurrence and development of DKD.