Effects of Metabolic Factors, Race-Ethnicity, and Sex on the Development of Nephropathy in Adolescents and Young Adults With Type 2 Diabetes: Results From the TODAY Study

Young-onset type 2 diabetes mellitus enhances proteinuria, but not glomerular filtration rate decline: A Japanese cohort study

AIMS/INTRODUCTION

The time course of chronic kidney disease in young-onset type 2 diabetes mellitus remains unclear. We compared the trajectories of proteinuria and estimated glomerular filtration rate (eGFR) decline between young-onset (aged ≤40 years) and late-onset (aged >40 years) type 2 diabetes mellitus in a Japanese multicenter cohort.

MATERIALS AND METHODS

Participants without diabetic kidney disease were divided into two groups according to age at diagnosis: young- and late-onset. The primary endpoint was eGFR <60 mL/min/1.73 m2, proteinuria or both. Multivariable Cox proportional hazards were calculated to estimate incidence.

RESULTS

Among 626 participants with type 2 diabetes mellitus, 78 (12.4%) had young-onset and 548 (87.6%) had late-onset diabetes. The incidence of eGFR <60 mL/min/1.73 m2 was lower (16.7% vs 33.5%, P = 0.003), but that of proteinuria was higher (46.2% vs 28.9%, P = 0.002) in the young-onset type 2 diabetes mellitus group. The Kaplan-Meyer curve showed that young-onset type 2 diabetes mellitus was associated with a decreased hazard ratio (HR) for eGFR <60 mL/min/1.73 m2 and an increased HR for proteinuria compared with late-onset type 2 diabetes mellitus. In the multivariate Cox analysis, young-onset type 2 diabetes mellitus increased the HR (95% confidence interval) of proteinuria (1.53, 95% confidence interval 1.03-2.26), but did not change the eGFR <60 mL/min/1.73 m2 HR.

CONCLUSIONS

Young-onset type 2 diabetes mellitus has a lower HR of eGFR <60 mL/min/1.73 m2 and an increased HR of proteinuria compared with late-onset type 2 diabetes mellitus, indicating that young-onset type 2 diabetes mellitus has a different time course for the development of proteinuria and subsequent eGFR decline.

Live Cell Monitoring of Phosphodiesterase Inhibition by Sulfonylurea Drugs

Sulfonylureas (SUs) are a class of antidiabetic drugs widely used in the management of diabetes mellitus type 2. They promote insulin secretion by inhibiting the ATP-sensitive potassium channel in pancreatic β-cells. Recently, the exchange protein directly activated by cAMP (Epac) was identified as a new class of target proteins of SUs that might contribute to their antidiabetic effect, through the activation of the Ras-like guanosine triphosphatase Rap1, which has been controversially discussed. We used human embryonic kidney (HEK) 293 cells expressing genetic constructs of various Förster resonance energy transfer (FRET)-based biosensors containing different versions of Epac1 and Epac2 isoforms, alone or fused to different phosphodiesterases (PDEs), to monitor SU-induced conformational changes in Epac or direct PDE inhibition in real time. We show that SUs can both induce conformational changes in the Epac2 protein but not in Epac1, and directly inhibit the PDE3 and PDE4 families, thereby increasing cAMP levels in the direct vicinity of these PDEs. Furthermore, we demonstrate that the binding site of SUs in Epac2 is distinct from that of cAMP and is located between the amino acids E443 and E460. Using biochemical assays, we could also show that tolbutamide can inhibit PDE activity through an allosteric mechanism. Therefore, the cAMP-elevating capacity due to allosteric PDE inhibition in addition to direct Epac activation may contribute to the therapeutic effects of SU drugs.

Development of Serum Lactate Level-Based Nomograms for Predicting Diabetic Kidney Disease in Type 2 Diabetes Mellitus Patients

Purpose

To establish nomograms integrating serum lactate levels and traditional risk factors for predicting diabetic kidney disease (DKD) in type 2 diabetes mellitus (T2DM) patients.

Patients and methods

A total of 570 T2DM patients and 100 healthy subjects were enrolled. T2DM patients were categorized into normal and high lactate groups. Univariate and multivariate logistic regression analyses were employed to identify independent predictors for DKD. Then, nomograms for predicting DKD were established, and the model performance was evaluated using the area under the receiver operating characteristic curve (AUC), calibration, and decision curve analysis (DCA).

Results

T2DM patients exhibited higher lactate levels compared to those in healthy subjects. Glucose, platelet, uric acid, creatinine, and hypertension were independent factors for DKD in T2DM patients with normal lactate levels, while diabetes duration, creatinine, total cholesterol, and hypertension were indicators in high lactate levels group (P<0.05). The AUC values were 0.834 (95% CI, 0.776 to 0.891) and 0.741 (95% CI, 0.688 to 0.795) for nomograms in both normal lactate and high lactate groups, respectively. The calibration curve demonstrated excellent agreement of fit. Furthermore, the DCA revealed that the threshold probability and highest Net Yield were 17-99% and 0.36, and 24-99% and 0.24 for the models in normal lactate and high lactate groups, respectively.

Conclusion

The serum lactate level-based nomogram models, combined with traditional risk factors, offer an effective tool for predicting DKD probability in T2DM patients. This approach holds promise for early risk assessment and tailored intervention strategies.

Comprehensive Factors for Predicting the Complications of DiabetesMellitus: A Systematic Review

BACKGROUND

This article focuses on extracting a standard feature set for predicting the complications of diabetes mellitus by systematically reviewing the literature. It is conducted and reported by following the guidelines of PRISMA, a well-known systematic review and meta-analysis method. The research articles included in this study are extracted using the search engine "Web of Science" over eight years. The most common complications of diabetes, diabetic neuropathy, retinopathy, nephropathy, and cardiovascular diseases are considered in the study.

METHOD

The features used to predict the complications are identified and categorised by scrutinising the standards of electronic health records.

RESULT

Overall, 102 research articles have been reviewed, resulting in 59 frequent features being identified. Nineteen attributes are recognised as a standard in all four considered complications, which are age, gender, ethnicity, weight, height, BMI, smoking history, HbA1c, SBP, eGFR, DBP, HDL, LDL, total cholesterol, triglyceride, use of insulin, duration of diabetes, family history of CVD, and diabetes. The existence of a well-accepted and updated feature set for health analytics models to predict the complications of diabetes mellitus is a vital and contemporary requirement. A widely accepted feature set is beneficial for benchmarking the risk factors of complications of diabetes.

CONCLUSION

This study is a thorough literature review to provide a clear state of the art for academicians, clinicians, and other stakeholders regarding the risk factors and their importance.

Trajectories of eGFR and risk of albuminuria in youth with type 2 diabetes: results from the TODAY cohort study

BACKGROUND

We conducted exploratory analyses to identify distinct trajectories of estimated glomerular filtration rate (eGFR) and their relationship with hyperfiltration, subsequent rapid eGFR decline, and albuminuria in participants with youth-onset type 2 diabetes enrolled in the Treatment Options for type 2 Diabetes in Adolescents and Youth (TODAY) study.

METHODS

Annual serum creatinine, cystatin C, urine albumin, and creatinine measurements were obtained from 377 participants followed for ≥ 10 years. Albuminuria and eGFR were calculated. Hyperfiltration peak is the greatest eGFR inflection point during follow-up. Latent class modeling was applied to identify distinct eGFR trajectories.

RESULTS

At baseline, participants' mean age was 14 years, type 2 diabetes duration was 6 months, mean HbA1c was 6%, and mean eGFR was 120 ml/min/1.73 m2. Five eGFR trajectories associated with different rates of albuminuria were identified, including a "progressive increasing eGFR" group (10%), three "stable eGFR" groups with varying starting mean eGFR, and an "eGFR steady decline" group (1%). Participants who exhibited the greatest peak eGFR also had the highest levels of elevated albuminuria at year 10. This group membership was characterized by a greater proportion of female and Hispanic participants.

CONCLUSIONS

Distinct eGFR trajectories that associate with albuminuria risk were identified, with the eGFR trajectory characterized by increasing eGFR over time associating with the highest level of albuminuria. These descriptive data support the current recommendations to estimate GFR annually in young persons with type 2 diabetes and provide insight into eGFR-related factors which may contribute to predictive risk strategies for kidney disease therapies in youth with type 2 diabetes.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT00081328, date registered 2002. A higher resolution version of the Graphical abstract is available as Supplementary information.

24-h ambulatory blood pressure readings and associations with albuminuria in youth with type 2 diabetes: A cross sectional analysis from the iCARE cohort

AIMS

To evaluate associations between 24-h ambulatory blood pressure monitor (ABPM) data vs. single casual blood pressure (BP) and albuminuria in youth with type 2 diabetes.

METHODS

A cross-sectional analysis of youth with type 2 diabetes 10-<18 yrs. from the iCARE cohort.

MAIN EXPOSURES

daytime HTN (+/- nocturnal), isolated nocturnal HTN and single casual BP.

MAIN OUTCOME

non-orthostatic urine albumin: creatinine ratio (ACR) ≥ 3 mg/mmol and log-transformed urine ACR. Regressions evaluated associations between 1. HTN status based on ABPM and log-transformed urine ACR (continuous) and 2. ABPM-derived BP z-scores and casual BPcentiles and albuminuria status (categorical).

RESULTS

Of 281 youth included, 19.6 % had daytime HTN (+/- nocturnal), and 28.5 % isolated nocturnal HTN on 24-h ABPM. In multivariate linear regression, HTN (ABPM) (ß = 0.553; p = 0.001), duration of diabetes (ß = 0.857; p = 0.02), HbA1c (ß = 1.172; p ≤0.0001) and ACEI/ARB use (ß = 3.94; p < 0.0001) were positively associated with log-transformed ACR; (R2 = 0.184). In logistic regression analysis, all ABPM LMS z-scores were positively associated with albuminuria; casual BPcentile was not significant.

CONCLUSIONS

Youth with type 2 diabetes have high rates of HTN based on 24-ABPM data. ABPM-derived measures of BP are associated with albuminuria. These data support the routine use of ABPM devices to diagnose hypertension in youth with type 2 diabetes.

Effects of sleep duration and changes in body mass index on diabetic kidney disease: a prospective cohort study

Aims

To examine the associations of sleep duration and changes in BMI with the onset of diabetic kidney disease (DKD).

Materials and methods

2,959 participants with type 2 diabetes were divided into three groups based on sleep duration: short (<7 h/day), intermediate (7-9 h/day), or long (>9 h/day). Changes in BMI during follow-up were trisected into loss, stable, or gain groups. DKD was defined as either the urinary albumin/creatinine ratio (UACR) ≥ 3.39 mg/mmol or the estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73m², or both. Cox regression models were used to assess hazard ratios (HRs) and 95% confidence intervals (CIs).

Results

During a mean follow-up of 2.3 years, DKD occurred in 613 participants (20.7%). A J-shaped curve was observed between sleep duration and DKD. Compared to intermediate sleep duration, long sleep duration was associated with higher risks of DKD (HR 1.47; 95% CI: 1.19-1.81). In the joint analyses, compared to participants with intermediate sleep duration and stable BMI, long sleep duration with BMI gain had the highest risks of DKD (HR 2.04; 95% CI: 1.48-2.83). In contrast, short or intermediate sleep duration accompanied by decrease in BMI was associated with a reduced risk of DKD, with HRs of 0.50 (95% CI: 0.31-0.82) and 0.61 (95% CI:0.47-0.80), respectively.

Conclusions

Long sleep duration is significantly associated with an increased risk of DKD, which is further amplified by obesity or BMI gain. These findings suggest that both proper sleep duration and weight control are essential to preventing DKD.

Complications and Treatment of Early-Onset Type 2 Diabetes

Context

Global reports have revealed a dramatic rise in the number of patients diagnosed with type 2 diabetes (T2DM) over the past three decades in all age groups, even in children and adolescents. The physiologic phenomenon of insulin resistance during puberty, as well as genetic and epigenetic factors, are implicated in this phenomenon. It seems that patients with early-onset T2DM experience a more aggressive clinical course; however, limited treatments available for these patients pose a challenge. This narrative review intends to scrutinize the micro- and macrovascular complications and treatments of patients with early-onset T2DM.

Methods

The literature search was conducted in the PubMed database to identify all relevant original English articles published from the beginning of 2018 until January 2023.

Results

Vascular complications, such as albuminuria, hypertension, cardiovascular diseases, and retinopathy, were seen to be more common in early-onset T2DM compared to type 1 diabetes. The odds ratio of vascular complications was higher in early-onset compared to late-onset T2DM. In children and adolescents with T2DM, the only approved medications included metformin, insulin, and glucagon-like peptide-1 agonists. Treatment of early-onset T2DM with metformin monotherapy cannot yield durable glycemic control, and most patients need early combination therapy.

Conclusions

During the past years, the frequency of early-onset T2DM has been growing at an alarming rate. Vascular complications in these patients seem more aggressive and more challenging to control. Hence, further clinical trials should be conducted to develop novel therapeutic approaches and evaluate their long-term benefits in terms of glycemic control and preventing future complications.

SGLT2 inhibitors mitigate kidney tubular metabolic and mTORC1 perturbations in youth-onset type 2 diabetes

The molecular mechanisms of sodium-glucose cotransporter-2 (SGLT2) inhibitors (SGLT2i) remain incompletely understood. Single-cell RNA sequencing and morphometric data were collected from research kidney biopsies donated by young persons with type 2 diabetes (T2D), aged 12 to 21 years, and healthy controls (HCs). Participants with T2D were obese and had higher estimated glomerular filtration rates and mesangial and glomerular volumes than HCs. Ten T2D participants had been prescribed SGLT2i (T2Di[+]) and 6 not (T2Di[-]). Transcriptional profiles showed SGLT2 expression exclusively in the proximal tubular (PT) cluster with highest expression in T2Di(-) patients. However, transcriptional alterations with SGLT2i treatment were seen across nephron segments, particularly in the distal nephron. SGLT2i treatment was associated with suppression of transcripts in the glycolysis, gluconeogenesis, and tricarboxylic acid cycle pathways in PT, but had the opposite effect in thick ascending limb. Transcripts in the energy-sensitive mTORC1-signaling pathway returned toward HC levels in all tubular segments in T2Di(+), consistent with a diabetes mouse model treated with SGLT2i. Decreased levels of phosphorylated S6 protein in proximal and distal tubules in T2Di(+) patients confirmed changes in mTORC1 pathway activity. We propose that SGLT2i treatment benefits the kidneys by mitigating diabetes-induced metabolic perturbations via suppression of mTORC1 signaling in kidney tubules.

Incidence of long-term diabetes complications and mortality in youth-onset type 2 diabetes: A systematic review

AIMS

This systematic review aims to assess the incidence of chronic kidney disease (CKD), cardiovascular disease (CVD) and mortality in people with type 2 diabetes diagnosed <20 years.

METHODS

We searched MEDLINE, Embase and Cochrane Library for longitudinal studies published between 1 January 2000 and 31 November 2021.

RESULTS

Seventeen studies (15 reporting CKD, 3 reporting CVD, 5 reporting mortality) from seven countries of sample size ranging between 96 and 4,141 were eligible. Most studies were conducted in North America and Europe (n = 14). Diabetes duration at enrolment varied from 0 to 8.3 years and follow-up duration from 1 to 12.6 years. The incidence rates (per 1,000 person-year) of albuminuria ranged between 12.4 and 114.8, macroalbuminuria or proteinuria between 10 and 35.0, end-stage kidney disease (ESKD) between 0.4 and 25.0, CVD between 3.7 and 19.5, and mortality between 1.0 and 18.6. The highest incidence rates of albuminuria, ESKD and mortality were recorded in Australian Aboriginal and Pima Indian populations. Youth-onset type 2 diabetes was associated with greater risk of developing CKD compared with type 1 diabetes in most studies.

CONCLUSION

Studies reporting CVD in youth-onset type 2 diabetes are scarce. Estimated incidence rates of CKD and mortality in youth-onset type 2 diabetes varied across different study populations, potentially higher in indigenous people. Youth with type 2 diabetes are at higher risk of adverse kidney outcomes than their type 1 counterparts. More studies are needed in regions outside of North America and Europe.

Neck-to-height ratio is positively associated with diabetic kidney disease in Chinese patients with type 2 diabetes mellitus

INTRODUCTION

The aim of this study was to investigate the associations of neck circumference (NC) and neck-to-height (NHR) with diabetic kidney disease (DKD) in Chinese patients with type 2 diabetes mellitus (T2DM).

MATERIALS AND METHODS

A total of 2,615 patients with prevalent T2DM were enrolled. NHR was calculated through NC (cm) divided by height (cm), and prevalent DKD was defined as the urinary albumin-to-creatinine ratio (UACR) ≥ 30 mg/g or the estimated glomerular filtration rate (eGFR) < 60 ml/min per 1.73 m² in the absence of other primary kidney diseases.

RESULTS

The levels of NC and NHR were higher in DKD patients compared with non-DKD patients (38.22 vs. 37.71, P = 0.003; 0.232 vs. 0.227, P < 0.001, respectively). After full adjustments, individuals at the highest tertile of NHR had higher odds of DKD than those at the lowest tertile (multivariate-adjusted OR = 1.63, 95% CI: 1.22, 2.18), but this association was not pronounced with NC (multivariate-adjusted OR = 1.24, 95% CI: 0.87, 1.76). Individuals at the highest tertile of NHR had lower eGFR (β = -4.64, 95% CI: -6.55, -2.74) and higher UACR levels (β = 0.27, 95% CI: 0.10, 0.45) than those at the lowest tertile. The adverse association between NHR and prevalent DKD remained statistically significant among most of the subgroups analyzed and no interaction effects were observed.

CONCLUSION

The increase in NHR was adversely and independently associated with DKD in this Chinese T2DM population.