Diagnosis Of Diabetic Kidney Disease Research Articles

Integrated multiomic analyses: An approach to improve understanding of diabetic kidney disease.

Diabetes is increasing in prevalence worldwide, with a 20% rise in prevalence predicted between 2021 and 2030, bringing an increased burden of complications, such as diabetic kidney disease (DKD). DKD is a leading cause of end-stage kidney disease, with significant impacts on patients, families and healthcare providers. DKD often goes undetected until later stages, due to asymptomatic disease, non-standard presentation or progression, and sub-optimal screening tools and/or provision. Deeper insights are needed to improve DKD diagnosis, facilitating the identification of higher-risk patients. Improved tools to stratify patients based on disease prognosis would facilitate the optimisation of resources and the individualisation of care. This review aimed to identify how multiomic approaches provide an opportunity to understand the complex underlying biology of DKD. This review explores how multiomic analyses of DKD are improving our understanding of DKD pathology, and aiding in the identification of novel biomarkers to detect disease earlier or predict trajectories. Effective multiomic data integration allows novel interactions to be uncovered and empathises the need for harmonised studies and the incorporation of additional data types, such as co-morbidity, environmental and demographic data to understand DKD complexity. This will facilitate a better understanding of kidney health inequalities, such as social-, ethnicity- and sex-related differences in DKD risk, onset and progression. Multiomics provides opportunities to uncover how lifetime exposures become molecularly embodied to impact kidney health. Such insights would advance DKD diagnosis and treatment, inform preventative strategies and reduce the global impact of this disease.

Superior benefits of sodium-glucose co-transporter-2 inhibitors compared with dipeptidyl peptidase-4 inhibitors for diabetic kidney disease: A cohort study.

To compare cardiorenal outcomes of dipeptidyl peptidase-4 inhibitors (DPP-4is) and sodium-glucose co-transporter-2 inhibitors (SGLT-2is) in a national diabetic kidney disease (DKD) population. A cohort study was conducted using Taiwan's National Health Insurance Research Database and Laboratory Databases. Propensity score-matched prevalent new users of SGLT-2is (n = 1524) and DPP-4is (n = 6005) during 2017-2018 were selected from adults with DKD and an estimated glomerular filtration rate (eGFR) of less than 60 mL/min/1.73m2. Composite renal outcomes included sustained eGFR decrease, renal failure and renal mortality. Composite cardiovascular (CV) outcomes included acute myocardial infarction, stroke, hospitalization for heart failure and CV death. Cox proportional hazards models estimated hazard ratios (HRs) and 95% confidence intervals (CIs). Compared with DPP-4i users, SGLT-2i users had a reduced risk of composite renal endpoint (HR: 0.16; CI: 0.12-0.24), consistently for a prolonged time to 50% or higher eGFR decrease (HR 0.17; CI: 0.11-0.27), renal failure (HR: 0.14; CI: 0.08-0.23) and decreased renal death (HR: 0.10; CI: 0.01-0.70). SGLT-2i users had a better composite CV outcome than DPP-4i users (HR: 0.74; CI: 0.64-0.85), and lower risks of stroke (HR: 0.76; CI: 0.62-0.92) and hospitalization for heart failure (HR: 0.68; CI: 0.55-0.84). Findings were consistent in analyses stratified by concomitant antidiabetic agents or intervals between DKD diagnosis and study drug initiation. This study shows the superior cardiorenal benefits of SGLT-2is compared with DPP-4is in the DKD population, regardless of concomitant antidiabetic agents or time from DKD onset to study drug initiation. SGLT-2is should be prioritized in adult patients with DKD.

Significance of pyroptosis-related genes in the diagnosis and classification of diabetic kidney disease

Objective This study aimed to identify the potential biomarkers associated with pyroptosis in diabetic kidney disease (DKD). Methods Three datasets from the Gene Expression Omnibus (GEO) were downloaded and merged into an integrated dataset. Differentially expressed genes (DEGs) were filtered and intersected with pyroptosis-related genes (PRGs). Pyroptosis-related DEGs (PRDEGs) were obtained and analyzed using functional enrichment analysis. Random forest, Least Absolute Shrinkage and Selection Operator, and logistic regression analyses were used to select the features of PRDEGs. These feature genes were used to build a diagnostic prediction model, identify the subtypes of the disease, and analyze their interactions with transcription factors (TFs)/miRNAs/drugs and small molecules. We conducted a comparative analysis of immune cell infiltration at different risk levels of pyroptosis. qRT-PCR was used to validate the expression of the feature genes. Results A total of 25 PRDEGs were obtained. These genes were coenriched in biological processes and pathways, such as the regulation of inflammatory responses. Five key genes (CASP1, CITED2, HTRA1, PTGS2, S100A12) were identified and verified using qRT-PCR. The diagnostic model based on key genes has a good diagnostic prediction ability. Five key genes interacted with TFs and miRNAs in 67 and 80 pairs, respectively, and interacted with 113 types of drugs or molecules. Immune infiltration of samples with different pyroptosis risk levels showed significant differences. Thus, CASP1, CITED2, HTRA1, PTGS2 and S100A12 are potential DKD biomarkers. Conclusion Genes that regulate pyroptosis can be used as predictors of DKD. Early diagnosis of DKD can aid in its effective treatment.

Circulating Exosomes Studied by Label-free Proteomics Analysis Reveal Transition Signatures from Diabetes Mellitus to Diabetic Kidney Disease

Background: Diabetic kidney disease (DKD) is a common microvascular complication of diabetic mellitus (DM). At present, the early diagnosis of DKD mainly depends on microalbuminuria, which is prone to be affected by confounding factors such as urinary tract infections. Methods: To identify the more stable early diagnosis markers, the whole proteome in the circulating exosomes from controls, DM patients, and DKD patients was quantified by label-free proteomics analysis and then validated with parallel reaction monitoring. Results: Three hundred ninety-one quantitative proteins were detected, and the expression trends of 7 proteins in the validation phase were consistent with that in the discovery phase. The expression level assessment results revealed that the expression of EFEMP1 and ApoA4 in the DKD group was significantly higher than those in DM and controls. Correlation analysis showed that EFEMP1 and APOA4 were positively correlated with urinary microalbumin and urinary albumin creatinine ratio and had excellent diagnostic values for distinguishing DKD from DM and controls. Conclusions: ApoA4 and EFEMP1 could serve as the early diagnosis markers of DKD. These findings provide a possibility for the development of a clinical diagnostic index that can efficiently distinguish DKD from DM in the near future.

Simultaneous detection of multiple urinary biomarkers in patients with early-stage diabetic kidney disease using Luminex liquid suspension chip technology.

Several urinary biomarkers have good diagnostic value for diabetic kidney disease (DKD); however, the predictive value is limited with the use of single biomarkers. We investigated the clinical value of Luminex liquid suspension chip detection of several urinary biomarkers simultaneously. The study included 737 patients: 585 with diabetes mellitus (DM) and 152 with DKD. Propensity score matching (PSM) of demographic and medical characteristics identified a subset of 78 patients (DM = 39, DKD = 39). Two Luminex liquid suspension chips were used to detect 11 urinary biomarkers according to their molecular weight and concentration. The biomarkers, including cystatin C (CysC), nephrin, epidermal growth factor (EGF), kidney injury molecule-1 (KIM-1), retinol-binding protein4 (RBP4), α1-microglobulin (α1-MG), β2-microglobulin (β2-MG), vitamin D binding protein (VDBP), tissue inhibitor of metalloproteinases-1 (TIMP-1), tumor necrosis factor receptor-1 (TNFR-1), and tumor necrosis factor receptor-2 (TNFR-2) were compared in the DM and DKD groups. The diagnostic values of single biomarkers and various biomarker combinations for early diagnosis of DKD were assessed using receiver operating characteristic (ROC) curve analysis. Urinary levels of VDBP, RBP4, and KIM-1 were markedly higher in the DKD group than in the DM group (p < 0.05), whereas the TIMP-1, TNFR-1, TNFR-2, α1-MG, β2-MG, CysC, nephrin, and EGF levels were not significantly different between the groups. RBP4, KIM-1, TNFR-2, and VDBP reached p < 0.01 in univariate analysis and were entered into the final analysis. VDBP had the highest AUC (0.780, p < 0.01), followed by RBP4 (0.711, p < 0.01), KIM-1 (0.640, p = 0.044), and TNFR-2 (0.615, p = 0.081). However, a combination of these four urinary biomarkers had the highest AUC (0.812), with a sensitivity of 0.742 and a specificity of 0.760. The urinary levels of VDBP, RBP4, KIM-1, and TNFR-2 can be detected simultaneously using Luminex liquid suspension chip technology. The combination of these biomarkers, which reflect different mechanisms of kidney damage, had the highest diagnostic value for DKD. However, this finding should be explored further to understand the synergistic effects of these biomarkers.

Efficacy and safety of dual renin-angiotensin system (RAS) blockade for non-elderly diabetic kidney disease patients with preserved eGFR.

Although sodium glucose cotransporter2 inhibitor (SGLT-2I) is widely used in clinical practice, sufficient renin-angiotensin system (RAS) inhibition remains the cornerstone of diabetic kidney disease (DKD) treatment. The aim of this single-center study was to evaluate the efficacy and safety of dual RAS blockade compared with angiotensin-converting enzyme inhibitor (ACEI)/angiotensin II receptor blocker (ARB) monotherapy in non-elderly DKD patients with preserved eGFR (WHO Standard, < 60y). This single-center study was registered in Chinese Clinical Trial Registry (ChiCTR1900024752), and approved by the ethical committee (KY201994). In this study, we recruited non-elderly type 2 diabetes volunteers with initial diagnosis of DKD to receive dual RAS blockade or monotherapy. 150 non-elderly DKD patients with preserved eGFR were recruited. The patients were randomly divided into dual RAS blockade group and monotherapy group. The dual RAS blockade group treatment regimen was an 80mg valsartan plus a 4mg perindopril tert-butylamine per day. At the same time, monotherapy group patients who received the 8mg perindopril tert-butylamine or 160mg valsartan monotherapy. The clinical data of the three groups were compared at baseline and collected during the follow-up period of 12months. The baseline of patients who received dual RAS blockade was similar to that of monotherapy group. After 12months of treatment, the median level of proteinuria in the dual RAS blockade group was significantly lower than that in the monotherapy group. There was no significant difference in the estimated glomerular filtration rate (eGFR) level, potassium, blood pressure and no serious adverse reactions. In non-elderly DKD patients with preserved eGFR, dual RAS blockade is superior to control proteinuria, and does not increase the probability of adverse reactions such as hyperkalemia, hypotension and acute kidney injury in 12months.

Finerenone: Who should prescribe it for CKD? The physician associate's perspective.

Diabetic kidney disease (DKD) affects 30-40% of all patients with diabetes and contributes significantly to the cardiovascular burden of chronic kidney disease (CKD). Despite the availability of evidence-based medications like finerenone and simple screening tests such as Urinary Albumin-to-Creatinine Ratio (UACR), more resources are still needed to care for DKD patients. Physician Associates (PAs) play a crucial role in the multidisciplinary team responsible for DKD diagnosis, monitoring, and management. A nonsteroidal mineralocorticoid receptor antagonist, namely finerenone, was approved by the FDA in adults with CKD associated with type 2 diabetes to reduce the risk of renal and cardiovascular outcomes. Finerenone is considered among the pillars of care for DKD, furthermore, the addition of finerenone in combination with renin-angiotensin system inhibitors and/or other renal protective medications may offer additional benefits. Primary care providers prescribe finerenone less frequently than specialized care providers, indicating a need to empower physician associates in medication prescription and other renal protection strategies. As part of a multidisciplinary team, physician associates can play an important role in evaluating risk factors that contribute to heart disease and metabolic health. They can also monitor not only kidney function by ordering tests, such as serum creatinine and urinary albumin-to-creatinine ratio every 3-12months, but also serum potassium levels. Additionally, physician associates can encourage patients to take responsibility for their health by regularly monitoring their blood pressure, blood glucose levels, and body weight. With early detection and management, kidney failure and cardiovascular events may be preventable. Specialized physician associates also play a significant role in the comprehensive care of DKD patients, especially in the later stages. DKD care can be hindered by numerous factors such as lack of patient engagement during counseling, cost disparities, and a complex referral system that requires multidisciplinary guidelines to improve professional communication. It is necessary to re-envision the physician associates' role in primary care and empower them in goal-directed therapies.

Monoclonal immunoglobulin deposition disease a spectrum? The treatment of an unusual biopsy presentation

Introduction: Monoclonal gammopathy of renal significance (MGRS) is characterized by clonal cell deposition of monoclonal immunoglobulin causing renal manifestations without overt malignancy. MIDD is a subtype of MGRS characterized by deposition of monoclonal light (LCDD), heavy chains (HCDD), or both (LHCDD) along the renal glomerular and tubular basement membranes. Virtually all organs can be involved, and if left untreated, MIDD can progress to MM and end stage renal disease. Although these patients classically did not receive treatment, current MIDD management is primarily focused on controlling the underlying clonal plasma cell disorder. Case description: We present a 56-year-old male with atypical MIDD treated successfully with plasma cell directed therapy consisting of daratumumab, cyclophosphamide, bortezomib, and dexamethasone (DARA-CYBOR-D). Despite a primary diagnosis of diabetic kidney disease, renal biopsy suggested myeloma-related MIDD based on linear immunofluorescent staining for IgG and kappa light chains along the tubular and glomerular basement membranes. Notably there were no electron dense deposits in the mesangium or tubular basement membranes typical to MIDD electron microscopy. Despite the presentation of MIDD on IF only, DARA-CYBOR-D treatment led to hematologic and renal improvement and remission from MIDD, with a GFR increase from 22 to 59 mL/min/BSA and a drop in urine protein from up to 9 to 0.6 g/dL. Conclusions: In conclusion, our case illustrates the efficacy of the DARA-CYBOR-D regimen in a patient with IF-only MIDD. We highlight the importance of obtaining a kidney biopsy when there are other potential causes for real decline and enhance our understanding of pathological and clinical spectrum of MIDD.

#1669 Gangliosides as biomarkers for early diagnosis of diabetic kidney disease: detection and characterization by high-performance mass spectrometry

Abstract Background and Aims The early identification of diabetic kidney disease (DKD) is crucial as it may facilitate immediate intervention, thus impeding the progression of the condition and the risk of developing end-stage renal disease (ESRD). Enhancing our understanding of the pathophysiology of this microvascular complication as well as developing therapeutic strategies are imperative. Hence, the aim of the current study was to address the problematics of detection and characterization of gangliosides in the urine of type 2 diabetes mellitus (DM) patients with DKD. Method In this cross-sectional study, the urine ganglioside content from 24 h collected urine samples of 60 type 2 DM patients (20 with normal to mildly increased albuminuria—A1 group, 20 with moderately increased albuminuria—A2 group, 20 with severe increased albuminuria—A3 group) was compared to that of 20 healthy controls using a promising technique based on high-resolution (HR) mass spectrometry (MS). Furthermore, for structural elucidation of individual compounds, we isolated the ions GT1 (d18:1/18:0), identified at m/z 708.3379 and, GQ1 (d18:1/18:0) at m/z 812.7068, observed only in the screening analysis of A3 patients, and exposed them to Higher-energy collisional dissociation (HCD MS/MS) in the negative ion mode. Results Patients with type 2 diabetes mellitus display a considerably greater abundance of different species in their urinary gangliosidome, which varies in either glycan or ceramide structure, in comparison to the control group. Even within the A1 group, a greater variety of structures exhibiting varying degrees of sialylation were observed. A wide range of carbohydrate chains were discovered, ranging from short, monosialylated chains (GM) to complex, pentasialylated chains (GP). Additionally, some ganglioside chains were modified with and O-acetyl (O-Ac) attachments. The gangliosidome of the A3 group comprises a higher variety of structures, compared to A1 and A2, differing in their overall sialic acid content, and more complex structures, including various biologically significant modifications, such as O-fucosylation, O-GalNAc and CH3COO− attachments. Both albuminuria and glomerular filtration rate proved to be correlated with the degree of sialylation of species. Furthermore, significant alterations occur also in the ceramide part, with the most noteworthy being the presence of sphingoid base trihydroxylation, which is shown in both A1 and A3 samples. Additionally, A3 exhibits unusual length of the fatty acid chains. GQ1d(d18:1/18:0), GT1α(d18:1/18:0), and GT1b(d18:1/18:0) were identified as predictive for specific isomers linked to the location of Neu5Ac along the oligosaccharide structure using HCD-based MS/MS. Conclusion We concluded that gangliosides may be involved in the development and progression of DKD through the use of mass spectrometry techniques, which provides considerable precision and ultrahigh reproducibility, sensitivity and processing power, and the capability to identify minor elements in complex biological matrices. Thus, a set of promising bioindicators for early detection and progression of DKD was established. Even in the normoalbuminuric stage, the sialylation level of the expressed species appears to be an extremely important biochemical marker of DKD. Moreover, the modifications detected in the composition of ceramide indicate that, alongside the oligosaccharide structure, the lipid component might function as a specific molecular indicator for different stages of DKD. The presence of a few isomers in the A3 group has been discovered to be associated with DKD progression, based on the informative sequence ions obtained from the structural analysis. Moreover, gangliosides might be used as target molecules for the implementation of therapeutic schemes in type 2 DM patients.

#1861 Association of the polymorphisms of the angiotensin converting enzyme and FRMD3 genes in the development of diabetic kidney disease

Abstract Background and Aims Individual genetic biomarkers, called single nucleotide polymorphisms (SNPs), have been proposed that could represent potential non-invasive markers for the early diagnosis of diabetic kidney disease (DKD), in addition to their association with a characteristic phenotype. Aim To determine the association of polymorphisms of the Angiotensin Converting Enzyme and FRMD3 genes with the risk of developing ERD in patients with type 2 diabetes. Method Case-control study, comparative, observational, ambispective and cross-sectional, in which men and women, over 18 years of age with T2D with and without ERD and healthy patients, who underwent DNA extraction, participated. genomic and subsequent genotyping, and detection of SNPs by mass spectrometry. Results A total of 400 patients participated, 199 men and 201 women, within which they were divided into three groups: 100 patients with type 2 diabetes and ERD confirmed by renal biopsy, 100 patients with type 2 diabetes without ERD and 200 healthy controls. A total of 3 polymorphisms of the ACE and FRMD3 genes were studied. Among the polymorphisms analyzed in the logistic regression, rs179975 CA (OR, 6.2; 95% CI: 1.15-7.48, p = 0.03), rs1888747 GA (OR, 6.6; 95% CI: 4.60-8.45, p = 0.002) and rs10868025 resulted. CG (OR, 4.1; 95% CI: 2.40-5.60, p = 0.002) Table 1. Conclusion Our study demonstrated the association of well-established genetic variants of the ACE and FRMD3 gene polymorphisms with the presence of ERD, showing that these SNPs, specifically rs179975 CA, rs1888747 GA and rs10868025 GC, may represent important genetic markers in the development of ERD and could be a predisposing factor due to the high frequency and strength of association that were observed in our studied population, this being the first study in Latin America.

Downregulation of hsa-miR-100-5p May Be a Protective Factor in the Early Stages of Nephropathy in Type 1 Diabetes Mellitus.

Type 1 Diabetes Mellitus (T1DM) can generate severe complications, such as Diabetic Kidney Disease (DKD) or Diabetic Nephropathy (DN), with it emerging as the leading cause of terminal (end-stage) renal disease all over the world. For T1DM, the clinical evaluation of DKD uses markers like the Glomerular Filtration Rate (GFR) and the Urinary Albumin Excretion (UAE). However, early diagnosis of DKD is still a challenge. For this reason, investigating molecular markers, such as microRNAs (miRNAs), offers a promising perspective to an early diagnosis, highlighting the stability and the ability to reflect incipient molecular manifestations. Thus, here we investigated four miRNAs (hsa-let-7i-5p, hsa-miR-143-3p, hsa-miR-501-3p, and hsa-miR-100-5p) regarding nephropathy in patients with T1DM, considering the albuminuria (micro and macro) as a standard to evaluate the groups. As a result, we found a reduced expression of miR-100-5p in patients with MIC, indicating a protective role in nephropathy. Beyond that, expression levels between the groups (Non vs. UAE) were not significant when comparing the miRNAs miR-501-3p and miR-143-3p. Finally, miR-143-3p and miR-100-5p were linked to some target genes such as AKT1, MMP13, and IGF1R, that are connected to signal pathways and cellular metabolism.

#635 Effect of multi-biomarker panels based on urinary N-terminal osteopontin on prediction of diabetic kidney disease in patients with diabetes mellitus

Abstract Background and Aims Diabetic kidney disease (DKD), occurs in 20–40% of patients with diabetes mellitus (DM), is the leading cause of end-stage renal disease (ESRD). DKD is a clinical diagnosis mainly based on the persistent albuminuria and reduced estimated glomerular filtration rate (eGFR) [1]. However, increased UACR and reduced eGFR are the final consequences due to DKD, novel biomarkers are critical for predicting DKD development. Osteopontin (OPN) is a profibrotic adhesion phosphoprotein that participates in cell chemotaxis, adhesion, migration, and proliferation, as well as extracellular matrix (ECM) hyperplasia. Hyperglycemia could enhance OPN gene expression through the activation of the renin-angiotensin system (RAS), mTOR pathway, NF-κB, and TGF-β pathway and then cause podocyte injury and ECM hyperplasia. Therefore, OPN upregulation is not only the result of various pathophysiological processes in DKD, but also results in kidney injury. Osteopontin (OPN) could predict incident DKD in DM patients [2], N-terminal OPN (ntOPN) has a stronger profibrotic adhesion effect than full-length OPN. This study aims to reveal the clinical benefit of ntOPN as a potential marker to identify DM patients at high risk of DKD, and establish ntOPN-based diagnostic and forecast models for renal outcomes in DM patients. Method We performed a cross-sectional study of 316 adults with Type 1 DM≥ 5 years or Type 2 DM, then followed by a prospective observational cohort study of 143 adult DM patients without renal involvement at baseline and follow-up for at least one year. During the follow-up period, the primary endpoint was “DKD occurrence”, defined as the presence of one of the following conditions in DM patients [3]: (1) repeat UACR ≥30 mg/g at least 2 of 3 measurements within 3 to 6 months; (2) eGFR &amp;lt;60 mL/min/1.73 m2 for more than three months; (3) renal pathological findings were consistent with DKD. The secondary endpoint was “DKD progression”, which included: (1) eGFR sustained decreased by at least 25%; (2) development of ESRD, and/or need for renal replacement therapy; (3) death from the renal cause. Logistic regression analysis was performed to analyze the relationship between parameters and the events of DKD occurrence and progression. Receiver operator characteristic (ROC) analysis was used to assess the predictive ability of established models for clinical endpoints. Results The median value of urinary ntOPN (UntOPN) was 44.15 ng/ml in the cross-sectional cohort, DKD prevalence was significantly higher in the high UntOPN group than in the low UntOPN group. The ROC curves of UntOPN, urinary neutrophil gelatinase-associated lipocalin (UNGAL), and their combination indicated that both combination and ntOPN alone perform better than UNGAL for DKD diagnosis (Fig. 1A). In the prospective cohort, UntOPN was an independent risk factor and further improved the predictive ability for DKD occurrence and DKD progression than UNGAL (Figs. 1B and 1C). Based on the parameters detected as risk factors for DKD occurrence and progression, we set up a series of multi-biomarker panels for DKD prediction using UntOPN, UNGAL, serum cystatin C, serum creatinine (Scr), UACR, and TCH/HDL-C ratio. Compared with the model of Scr + UACR, the area under ROC curve (AUC) of the six-biomarker model was higher, and also ranked the highest among the six ROC curves in predicting 1-year risk of DKD occurrence and DKD progression (Figs. 1B and 1C). Conclusion Our results showed that urinary ntOPN is associated with DKD development, and elevated urinary ntOPN is an independent predictor for DKD occurrence and progression. Compared with the traditional biomarkers of Scr + UACR, our multi-biomarker models based on urinary ntOPN performed better in predicting DKD development, which could provide more accurate tools for DKD risk prediction, thereby improving the renal prognosis in DM patients.

Patients With Type 2 Diabetes Mellitus and Early Diabetic Kidney Disease Exhibit Lower Computed Tomography-measured Skeletal Muscle Attenuation Values: A Propensity Score-matched Study

ObjectiveTo investigate the association between computed tomography (CT)-measured quality characteristics of skeletal muscle (SM) and early diagnosis of diabetic kidney disease (DKD) in patients with type 2 diabetes mellitus (T2DM). MethodsThis retrospective study included patients diagnosed with T2DM, with and without early DKD, between January 2019 and December 2021. To reduce potential bias, propensity score matching (PSM) was performed. The area and CT attenuation values for SM and different abdominal adipose depots were measured. After PSM, logistic and multiple linear regression analyse were performed to analyse risk factors for early DKD. ResultsA total of 267 patients were enrolled (mean age, 61.67 years ±10.87; 155 men) and divided into two groups: T2DM with early DKD (n=133); and T2DM without DKD (n=134). After PSM, 230 patients were matched (T2DM with early DKD [n=115]; and T2DM without DKD [n=115]), with no statistical differences in general characteristics between the two groups (P>0.05). In multivariate logistic regression analysis, high-density lipoprotein cholesterol (odds ratio [OR] 0.14; 95% confidence interval [CI] 0.04–0.49; P=0.002), uric acid (OR 1.01; 95% CI 1.00–1.01; P=0.006), and SM attenuation value (OR 0.94; 95% CI 0.90–0.98; P=0.003) were independent risk factors for early DKD. Multiple linear regression analysis revealed significant correlations between SM attenuation value and cystatin C (β=-0.39, P=0.004), urine albumin-to-creatinine ratio (β=-0.26, P=0.026), and estimated glomerular filtration rate (β=0.31 P=0.009) after adjustment for confounders. ConclusionT2DM patients with lower SM attenuation values may exhibit a higher risk for early DKD than those with higher values, which provides a potential imaging biomarker for early DKD diagnosis.

Dietary fiber intake and its association with diabetic kidney disease in American adults with diabetes: A cross-sectional study.

Dietary fiber (DF) intake may have a protective effect against type 2 diabetes (T2D); however, its relationship with diabetic kidney disease (DKD) remains unclear. To investigate the potential association between DF intake and the prevalence of DKD in individuals diagnosed with T2D. This cross-sectional study used data from the National Health and Nutrition Examination Survey collected between 2005 and 2018. DF intake was assessed through 24-h dietary recall interviews, and DKD diagnosis in individuals with T2D was based on predefined criteria, including albuminuria, impaired glomerular filtration rate, or a combination of both. Logistic regression analysis was used to assess the association between DF intake and DKD, and comprehensive subgroup and sensitivity analyses were performed. Among the 6032 participants, 38.4% had DKD. With lower DF intake-T1 (≤ 6.4 g/1000 kcal/day)-as a reference, the adjusted odds ratio for DF and DKD for levels T2 (6.5-10.0 g/1000 kcal/day) and T3 (≥ 10.1 g/1000 kcal/day) were 0.97 (95%CI: 0.84-1.12, P = 0.674) and 0.79 (95%CI: 0.68-0.92, P = 0.002), respectively. The subgroup analysis yielded consistent results across various demographic and health-related subgroups, with no statistically significant interactions (all P > 0.05). In United States adults with T2D, increased DF intake may be related to reduced DKD incidence. Further research is required to confirm these findings.

Association between Albumin Alterations and Renal Function in Patients with Type 2 Diabetes Mellitus.

Diabetic kidney disease (DKD) is a major cause of morbidity and mortality in individuals with type 2 diabetes mellitus (T2DM). The aim of this study was to investigate whether albumin structural alterations correlate with DKD severity and evaluate whether native and reduced albumin concentrations could complement the diagnosis of DKD. To this end, one hundred and seventeen T2DM patients without (n = 42) and with (n = 75) DKD (DKD I-III upon KDIGO classification) were evaluated; the total albumin concentration (tHA) was quantified by a bromocresol green assay, while structural alterations were profiled via liquid chromatography-high-resolution mass spectrometry (LC-HRMS). The concentrations of native albumin (eHA, effective albumin) and reduced albumin (rHA) were subsequently assessed. The HRMS analyses revealed a reduced relative amount of native albumin in DKD patients along with an increased abundance of altered forms, especially those bearing oxidative modifications. Accordingly, both eHA and rHA values varied during the stages of progressive renal failure, and these alterations were dose-dependently correlated with renal dysfunction. A ROC curve analysis revealed a significantly greater sensitivity and specificity of eHA and rHA than of tHA for diagnosing DKD. Importantly, according to the multivariate logistic regression analysis, the eHA was identified as an independent predictor of DKD.

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.

The predictive value of miR-377 and phospholipase A2 in the early diagnosis of diabetic kidney disease and their relationship with inflammatory factors

ObjectiveThe value of novel biomarkers for DKD has received increasing attention, and there is an urgent need for novel biomarkers with sensitivity, specificity and ability to detect kidney damage.miR-377 regulates many basic biological processes, plays a key role in tumor cell proliferation, migration and inflammation, and can also increase the expression of matrix proteins and fibronectin, leading to renal tubulointerstitial inflammation and renal fibrosis. Lipoprotein-associated phospholipase A2, as an inflammatory marker, is involved in the pathological process of microalbuminuria production and renal function decline, and is a predictive factor of microalbuminuria production and renal function decline, and can be used as an indicator to evaluate the progression of DKD.The aim of this study was to investigate the effects of miR-377 and phospholipase A2 on the development of diabetic kidney disease through regulation of inflammatory factors and the mechanism of action.Methods: 80 diabetic patients were divided into two groups according to urinary albumin-to-creatinine ratio (UACR): diabetic normal proteinuria group (n = 42) and diabetic proteinuria group (n = 38). Forty-three healthy people were selected as the normal control group. The serum levels of TGF-β, IL-6, and IL-18 were measured by ELISA, miR-377 was detected by qPCR, and the serum levels of phospholipase A2 were detected by electrochemiluminescence. Analyze the correlation of study group indicators, ROC curve was used to evaluate the diagnostic efficacy of miR-377 and phospholipase A2 in diabetic kidney disease. Results: The average levels of serum TGF-β, IL-6, IL-18, miR-377 and phospholipase A2 in diabetic proteinuria group were significantly higher than those in normal control group and diabetic proteinuria normal group(P < 0.05). miR-377, phospholipase A2 were significantly correlated with inflammatory factors such as glomerular filtration rate and TGF-β. miR-377 and phospholipase A2 are independent predictors of diabetic kidney disease. The area under the curve of miR-377 and phospholipase A2 in the normal diabetic proteinuria group and the diabetic proteinuria group were 0.731 and 0.744, respectively. Conclusion: miR-377 and phospholipase A2 have good diagnostic efficiency for the early diagnosis of diabetic kidney disease. They can be used as early biomarkers.miR-377 and phospholipase A2 were positively correlated with inflammatory factors and involved in the occurrence and development of diabetic kidney disease.

Elevated ALOX12 in renal tissue predicts progression in diabetic kidney disease

Diabetic kidney disease (DKD) is one of the major causes of end-stage renal disease and one of the significant complications of diabetes. This study aims to identify the main differentially expressed genes in DKD from transcriptome sequencing results and analyze their diagnostic value. The present study sequenced db/m mouse and db/db mouse to determine the ALOX12 genetic changes related to DKD. After preliminary validation, ALOX12 levels were significantly elevated in the blood of DKD patients, but not during disease progression. Moreover, urine ALOX12 was increased only in macroalbuminuria patients. Therefore, to visualize the diagnostic efficacy of ALOX12 on the onset and progression of renal injury in DKD, we collected kidney tissue from patients for immunohistochemical staining. ALOX12 was increased in the kidneys of patients with DKD and was more elevated in macroalbuminuria patients. Clinical chemical and pathological data analysis indicated a correlation between ALOX12 protein expression and renal tubule injury. Further immunofluorescence double staining showed that ALOX12 was expressed in both proximal tubules and distal tubules. Finally, the diagnostic value of the identified gene in the progression of DKD was assessed using receiver operating characteristic (ROC) curve analysis. The area under the curve (AUC) value for ALOX12 in the diagnosis of DKD entering the macroalbuminuria stage was 0.736, suggesting that ALOX12 has good diagnostic efficacy. During the development of DKD, the expression levels of ALOX12 in renal tubules were significantly increased and can be used as one of the predictors of the progression to macroalbuminuria in patients with DKD.

Utilization of the corticomedullary difference in magnetic resonance imaging-derived apparent diffusion coefficient for noninvasive assessment of chronic kidney disease in type 2 diabetes

BackgroundsAccumulating data demonstrated that the cortico-medullary difference in apparent diffusion coefficient (ΔADC) of diffusion-weighted magnetic resonance imaging (DWI) was a better correlation with kidney fibrosis, tubular atrophy progression, and a predictor of kidney function evolution in chronic kidney disease (CKD). ObjectivesWe aimed to assess the value of ΔADC in evaluating disease severity, differential diagnosis, and the prognostic risk stratification for patients with type 2 diabetes (T2D) and CKD. MethodsTotal 119 patients with T2D and CKD who underwent renal MRI were prospectively enrolled. Of them, 89 patients had performed kidney biopsy for pathological examination, including 38 patients with biopsy-proven diabetic kidney disease (DKD) and 51 patients with biopsy-proven non-diabetic kidney disease (NDKD) and Mix (DKD + NDKD). Clinicopathological characteristics were compared according to different ΔADC levels. Moreover, univariate and multivariate-linear regression analyses were performed to explore whether ΔADC was independently associated with estimated glomerular filtration rate (eGFR) and urinary albumin creatinine ratio (UACR). The diagnostic performance of ΔADC for discriminating DKD from NDKD + Mix was evaluated by receiver operating characteristic (ROC) analysis. In addition, an individual's 2- or 5-year risk probability of progressing to end-stage kidney disease (ESKD) was calculated by the kidney failure risk equation (KFRE). The effect of ΔADC on prognostic risk stratification was assessed. Additionally, net reclassification improvement (NRI) was used to evaluate the model performance. ResultsAll enrolled patients had a median ΔADC level of 86 (IQR 28, 155) × 10−6 mm2/s. ΔADC significantly decreased across the increasing staging of CKD (P < 0.001). Moreover, those with pathological-confirmed DKD has a significantly lower level of ΔADC than those with NDKD and Mix (P < 0.001). It showed that ΔADC was independently associated with eGFR (β = 1.058, 95% CI = [1.002,1.118], P = 0.042) and UACR (β = −3.862, 95% CI = [-7.360, -0.365], P = 0.031) at multivariate linear regression analyses. Besides, ΔADC achieved an AUC of 0.707 (71% sensitivity and 75% specificity) and AUC of 0.823 (94% sensitivity and 67% specificity) for discriminating DKD from NDKD + Mix and higher ESKD risk categories (≥50% at 5 years; ≥10% at 2 years) from lower risk categories (<50% at 5 years; <10% at 2 years). Accordingly, the optimal cutoff value of ΔADC for higher ESKD risk categories was 66 × 10−6 mm2/s, and the group with the low-cutoff level of ΔADC group was associated with 1.232 -fold (95% CI 1.086, 1.398) likelihood of higher ESKD risk categories as compared to the high-cutoff level of ΔADC group in the fully-adjusted model. Reclassification analyses confirmed that the final adjusted model improved NRI. ConclusionsΔADC was strongly associated with eGFR and UACR in patients with T2D and CKD. More importantly, baseline ΔADC was predictive of higher ESKD risk, independently of significant clinical confounding. Specifically, ΔADC <78 × 10−6 mm2/s and <66 × 10−6 mm2/s would help to identify T2D patients with the diagnosis of DKD and higher ESKD risk categories, respectively.

Pathophysiological features of thyroid dysfunction in patients with type 2 diabetes and chronic kidney disease (a literature review and own observations)

Background. Diabetes mellitus (DM) is a metabolic di­sease that causes disorders of all types of metabolism. Currently, there is an increasing prevalence of not only DM, but also its serious complications. One of the common chronic complications of DM is diabetic kidney disease (DKD). As of today, it is also known about the effect of DM on other endocrine organs, in particular thyroid gland. Thyroid dysfunction in combination with type 2 DM and DKD are interrelated conditions. In the literature review, the causes, theories of development, stages, course, and criteria for making a diagnosis of DKD are highlighted, probable mechanisms for the development of phenotypes are described. The impact of pathophysio­logical mechanisms of metabolic and secretory disorders on thyroid function has been demonstrated. PubMed and Google Scholar databases were used to search for literature data. The purpose of the study is to investigate the frequency and prevalence of phenoty­pic forms of DKD and the thyroid functional state. Materials and methods. We have analyzed the data of 1,874 patients with type 2 DM who were receiving inpatient treatment at the Lviv Regional Clinical Diagnostic Center, branch of the Center for Endocrinolo­gical Population Health, in 2022 and the first three quarters of 2023. Among them, 56 % were women, 44 % were men. The average age of the patients was 56.1 ± 8.2 years. The frequency and prevalence of phenotypic forms of DKD, the thyroid functional state in such patients were studied. Results. The share of patients with confirmed DKD was 26 % (n = 487). According to the results of the studies, DKD develops by a phenotype of non-albuminuric renal dysfunction in 288 patients (59 %), by an albuminuric phenotype — in 192 cases (39.6 %), and as a progressive decrease in kidney function — in 7 patients (1.4 %). Non-albuminuric renal dysfunction phenotype was 1.5 times more frequent than albuminuric one. Thyroid dysfunction was diagnosed in 166 patients with DKD (34 %). The obtained data confirm the greater prevalence of hypothyroidism as compared to hyperthyroidism in patients with DKD. This allows us to suspect that the structural and functional changes in the kidneys in type 2 DM, which lead to a decrease in the filtration capacity of the kidneys, may be independent of albuminuria. Conclusions. The presence of DKD, regardless of the stage of DM and phenotype, has a direct and indirect effect on the regulation and functioning of the thyroid gland. In turn, adequate production of thyroid hormones is necessary for a balanced metabolism, energy homeostasis and renoprotection. The presence of thyroid dysfunction can be a cause of unsatisfactory control of diabetes and lead to the development of complications.