The urogenital microbiome in chronic kidney disease patients on peritoneal dialysis / El microbioma urogenital en pacientes con enfermedad renal crónica en diálisis peritoneal

Introduction and objectives: Diabetes, dyslipidemia, older age, gender, urinary tract infections, and recent antibiotic intake have been associated with a decrease in the urobiome richness and other fluctuations in this microbiome. Gut and blood microbiome have been reported to be altered in patients with chronic kidney disease (CKD), and specifically in peritoneal dialysis (PD) patients. Still, there are currently no studies describing the urogenital microbiome in CKD-PD patients. In this study we characterized the urobiome profile in 46 PD patients and analyzed its clinical and inflammatory parameters. Materials and methods: Mid-stream urine, fecal and blood samples were collected from 46 patients undergoing PD at Centro Hospitalar Universitário de São João (CHUSJ) in Porto, Portugal. Exclusion criteria were age under 18 years old, inability to give informed consent, history of infection in the last three months, and antibiotic intake in the last three months. The microbiome communities were analyzed by amplification and sequencing of the V3–V4 region of the bacterial 16S rRNA gene. Correlations with the patients’ clinical data and inflammatory profile were performed. Results: CKD-PD patients presented a unique urobiome profile dominated by Bacillota, Actinomycetota and Pseudomonadota and characterized by a lower Shannon diversity than fecal and blood microbiome. The taxonomic profiles of urogenital samples were organized in multiple subtypes dominated by populations of Lactobacillus, Staphylococcus, Streptococcus, Gardnerella, Prevotella, Escherichia-Shigella, being similar to other non-PD-CKD patients. Gender, sCD14, residual diuresis and history of peritonitis were significantly associated to variations in the urobiome. Although not reaching statistical significance, diabetes and the time on PD also showed association with particular taxonomic groups... (AU)

Introducción y objetivos: Diabetes, dislipemia, edad avanzada, género, infecciones del tracto urinario y toma reciente de antibióticos, entre otras, se han asociado a una disminución en la riqueza del urobioma y a otras fluctuaciones de dicho microbioma.Recientemente, se han descrito alteraciones en losmicrobiomas intestinal y en sangreen pacientes con enfermedad renal crónica (ERC) y, específicamente, en pacientes en diálisis peritoneal (DP).A pesar de ello, aún no existen estudios que describan el microbioma urogenital en pacientes en DP. En el presente trabajo, caracterizamos el urobioma en 46 pacientes en DP. Pacientes y métodos: Se recogieron muestras de orina (micción espontánea), heces y sangre de 46 pacientes en DP del Centro HospitalarUniversitário de São João en Oporto, Portugal. Los criterios de exclusión fueron edad menor a 18 años, incapacidad para entenderel consentimiento informado, e historia de infección y toma de antibióticos en los últimos 3 meses. Las comunidades microbiológicas fueron analizadas por amplificación y secuenciación de las regiones V3-V4 del 16S rRNA bacteriano. Se realizaron correlaciones con los datos clínicos y el perfil inflamatorio de los pacientes. Resultados: Los pacientes en DP presentaron un urobioma único dominado por Bacillota, Actinomycetota yPseudomonadota, y caracterizado por una menor diversidad de Shannon que los microbiomas en sangre e intestinal. Los perfiles taxonómicos de las muestras urogenitales se organizaron en múltiples subtipos dominados por poblaciones de Lactobacillus, Staphylococcus, Streptococcus, Gardnerella, Prevotella, Escherichia-Shigella, siendo similar al descrito para otros pacientes con ERC no en DP.Género, factor sCD14, diuresis residual yantecedentes de peritonitis se asociaron de forma significativa a cambios en el urobioma... (AU)

Stimulated UCPCR Levels Are Lower in People With Type 1 Diabetes Than in Other Diabetes Types in Sub-Saharan Africa: Results From a Preliminary Cross-Sectional Study.

Background: The clinical utility of Urinary C-Peptide to Creatinine Ratio (UCPCR) is well understood in people with different types of diabetes in Caucasian populations, but studies are lacking in African populations. We, therefore, aimed to examine Urinary C-Peptide to Creatinine Ratio levels among groups of people with different types of diabetes in a sub-Saharan African population. Methods: A total of 47 adults with diabetes; 10 with type 1 diabetes, 26 with type 2 diabetes, 11 with ketosis-prone diabetes, and 22 healthy control individuals, were recruited from Yaoundé Central Hospital in Cameroon. Fasting blood glucose and C-peptide were measured in venous blood and urine. Stimulated Urinary C-Peptide to Creatinine Ratio was determined in all subjects after ingestion of a standardized mixed meal. We compared the stimulated Urinary C-peptide to Creatinine Ration concentration in subjects with type 1 diabetes to the other groups. Results: The basal C-peptide and HOMA-ß were lower in T1D than in the T2D group [median 57 (34, 69) vs. 398 (335, 502) pmol/l; p ≤ 0.001] and [median 3.0 (1.63, 5.25) vs. 30.6 (17.94, 45.03); p < 0.001] respectively. Also, basal C-peptide and HOMA-ß were lower in T1D than in those with KPD [median 57 (34, 69) vs. 330 (265, 478) pmol/l; p = 0.003] and [median 3.0 (1.63, 5.25) vs. 47.1 (16.2, 63.1), p = 0.001] respectively. Basal C-peptide was not different between participants with T2D and KPD; 398 (335, 502) vs. 330 (265, 478) pmol/l, p = 0.19. Stimulated UCPCR was lower in T1D compared to T2D, KPD and control participants; [median 0.29 (0.14, 0.68) vs. 0.89 (0.40, 1.69) nmol/moll; p = 0.009], [median 0.29 (0.14, 0.68) vs. 1.33 (0.84, 1.59) nmol/mol; p = 0.006] and [median 0.29 (0.14, 0.68) vs. 1.21 (0.85, 1.21) nmol/mol; p = 0.005] respectively. However, stimulated UCPCR was similar between the T2D and KPD study participants; 0.89 (0.40, 1.69) vs. 1.33 (0.84, 1.59) nmol/mol, p = 0.36. Conclusions: Stimulated Urinary C-Peptide to Creatinine Ratio (UCPCR) is lower in participants with type 1 diabetes compared to those with other types of diabetes in this population. This means stimulated UCPCR could potentially differentiate type 1 diabetes from other diabetes types among people with diabetes in sub-Saharan Africa.

Urinary interleukin-9 in youth with type 1 diabetes mellitus.

AIMS: Interleukin-9 (IL-9) attenuates podocyte injury in experimental kidney disease, but its role in diabetic nephropathy is unknown. We sought to relate urinary IL-9 levels to the release of podocyte-derived extracellular vesicles (EVs) in youth with type 1 diabetes. We related urinary IL-9 levels to clinical variables and studied interactions between urinary IL-9, vascular endothelial growth factor (VEGF), tumor necrosis factor alpha (TNFα) and interleukin-6 (IL-6) on urinary albumin/creatinine ratio (ACR) a functional measure of podocyte injury. METHODS: We performed an analysis of urine samples and clinical data from a cohort of youth with type 1 diabetes (n = 53). Cytokines were measured using a Luminex platform (Eve Technologies), and nanoscale flow cytometry was employed to quantify urinary podocyte-derived EVs. All urinary measures were normalized to urinary creatinine. RESULTS: Mean age was 14.7 ± 1.6 years, and the mean time from diagnosis was 6.7 ± 2.9 years. Mean HbA1c was 70.3 ± 13.9 mmol/mol, mean ACR was 1.3 ± 1.9 mg/mmol, and mean eGFR was 140.3 ± 32.6 ml/min/1.73 m2. IL-9 was inversely related to podocyte EVs (r = - 0.56, p = 0.003). IL-9 was also inversely related to blood glucose, HbA1C and eGFR (r = - 0.44, p = 0.002; r = - 0.41, p = 0.003; r = - 0.49, p < 0.001, respectively) and positively correlated with systolic BP (r = 0.30, p = 0.04). There was a significant interaction between IL-9, EVs and ACR (p = 0.0143), and the relationship between IL-9 and ACR depended on VEGF (p = 0.0083), TNFα (p = 0.0231) and IL-6 levels (p = 0.0178). CONCLUSIONS: IL-9 is associated with podocyte injury in early type 1 diabetes, and there are complex interactions between urinary IL-9, inflammatory cytokines and ACR.

The association between EKG abnormalities and the development of microalbuminuria in type 2 diabetes.

ABSTRACT: Microalbuminuria is associated with both with chronic kidney disease and various cardiovascular abnormalities. Given the common use of electrocardiograms (EKGs) in diagnosing cardiovascular dysfunction, this study is analyzing the relationship between EKG abnormalities and diabetic nephropathy in type 2 diabetes mellitus (DM) patients. The enrollments of this study were from the 10-year follow-up data (2003-2012) of the Diabetes Management through an Integrated Delivery System project. All study subjects underwent at least 1 EKG measurement. The urinary microalbuminuria was recorded annually. The logistic regression model was used to evaluate the association between EKG abnormalities and the occurrence of diabetic nephropathy in type 2 DM patients. The total of 1189 patients with type 2 DM are included in this study and a total of 552 patients had microalbuminuria during a 10-year follow-up. A significantly higher odds ratio of microalbuminuria occurrence (4.85) was found in the patients with premature supraventricular contraction or tachycardia compared to those without EKG abnormalities. The odds ratios of microalbuminuria occurrence were 1.00, 2.43, 2.64, and 2.98, respectively, for patients with insulin resistance in the Q (quartile) 1(as the reference), Q2, Q3, and Q4, respectively. Our findings can serve as a reference for the association between EKG abnormalities and the development of microalbuminuria in type 2 diabetes.

Plasma heparin cofactor II activity is inversely associated with albuminuria and its annual deterioration in patients with diabetes.

AIMS/INTRODUCTION: Thrombin exerts various pathophysiological functions by activating protease-activated receptors (PARs). Recent data have shown that PARs influence the development of glomerular diseases including diabetic kidney disease (DKD) by regulating inflammation. Heparin cofactor II (HCII) specifically inactivates thrombin; thus, we hypothesized that low plasma HCII activity correlates with DKD development, as represented by albuminuria. MATERIALS AND METHODS: Plasma HCII activity and spot urine biomarkers, including albumin and liver-type fatty acid-binding protein (L-FABP), were determined as the urine albumin-to-creatinine ratio (uACR) and the urine L-FABP-to-creatinine ratio (uL-FABPCR) in 310 Japanese patients with diabetes mellitus (176 males and 134 females). The relationships between plasma HCII activities and those DKD urine biomarkers were statistically evaluated. In addition, the relationship between plasma HCII activities and annual uACR changes was statistically evaluated for 201/310 patients (115 males and 86 females). RESULTS: The mean plasma HCII activity of all participants was 93.8 ± 17.7%. Multivariate-regression analysis including confounding factors showed that plasma HCII activity independently contributed to the suppression of the uACR and log-transformed uACR values (P = 0.036 and P = 0.006, respectively) but not uL-FABPCR (P = 0.541). In addition, plasma HCII activity significantly and inversely correlated with annual uACR and log-transformed uACR increments after adjusting for confounding factors (P = 0.001 and P = 0.014, respectively). CONCLUSIONS: The plasma HCII activity was inversely and specifically associated with glomerular injury in patients with diabetes. The results suggest that HCII can serve as a novel predictive factor for early-stage DKD development, as represented by albuminuria.

Urinary Extracellular Vesicles as a Source of NGAL for Diabetic Kidney Disease Evaluation in Children and Adolescents With Type 1 Diabetes Mellitus.

Background: Tubular damage has a role in Diabetic Kidney Disease (DKD). We evaluated the early tubulointerstitial damage biomarkers in type-1 Diabetes Mellitus (T1DM) pediatric participants and studied the correlation with classical DKD parameters. Methods: Thirty-four T1DM and fifteen healthy participants were enrolled. Clinical and biochemical parameters [Glomerular filtration Rate (GFR), microalbuminuria (MAU), albumin/creatinine ratio (ACR), and glycated hemoglobin A1c (HbA1c)] were evaluated. Neutrophil gelatinase-associated lipocalin (NGAL), Hypoxia-inducible Factor-1α (HIF-1α), and Nuclear Factor of Activated T-cells-5 (NFAT5) levels were studied in the supernatant (S) and the exosome-like extracellular vesicles (E) fraction from urine samples. Results: In the T1DM, 12% had MAU >20 mg/L, 6% ACR >30 mg/g, and 88% had eGFR >140 ml/min/1.72 m2. NGAL in the S (NGAL-S) or E (NGAL-E) fraction was not detectable in the control. The NGAL-E was more frequent (p = 0.040) and higher (p = 0.002) than NGAL-S in T1DM. The T1DM participants with positive NGAL had higher age (p = 0.03), T1DM evolution (p = 0.03), and serum creatinine (p = 0.003) than negative NGAL. The NGAL-E correlated positively with tanner stage (p = 0.0036), the median levels of HbA1c before enrollment (p = 0.045) and was independent of ACR, MAU, and HbA1c at the enrollment. NFAT5 and HIF-1α levels were not detectable in T1DM or control. Conclusion: Urinary exosome-like extracellular vesicles could be a new source of early detection of tubular injury biomarkers of DKD in T1DM patients.

High urinary glucose is associated with improved renal prognosis in patients with diabetes mellitus.

AIMS/INTRODUCTION: The relationship between renal function and urinary glucose is poorly understood in diabetes patients who are not using sodium-glucose cotransporter 2 inhibitors. This study aimed to investigate the association of urinary glucose excretion with renal function prognosis in such patients. MATERIALS AND METHODS: This retrospective cohort study included 1,172 patients with type 1 or 2 diabetes mellitus. Patients were recruited and data were collected between 1 January 2007 and 31 December 2011; follow-up data were collected until 30 June 2015. The primary outcome was set as a 30% decline in estimated glomerular filtration rate relative to baseline. The relationship between this outcome and urinary glucose was investigated using Cox proportional hazards model. For analysis, patients were categorized into two groups: urinary glucose <5 g/day or ≥5 g/day. Interaction terms were analyzed. RESULTS: Multivariate analysis showed that the prognosis of renal function was significantly better in patients with high urinary glucose (≥5 g/day; adjusted hazard ratio 0.58, 95% confidence interval 0.35-0.96; P = 0.034). Significant interactions were observed between high urinary glucose and male sex (hazard ratio 0.33, 95% confidence interval 0.14-0.74; P = 0.007), and between high urinary glucose and longer duration of diabetes (≥10 years; hazard ratio 0.25, 95% confidence interval 0.11-0.58; P = 0.001). CONCLUSIONS: The present study suggests that high urinary glucose is associated with prognosis in diabetes patients not taking sodium-glucose cotransporter 2 inhibitors. Measurement of 24-h urinary glucose excretion might have clinical utility for predicting renal prognosis.

Urinary podocyte-derived microparticles in youth with type 1 and type 2 diabetes.

AIMS/HYPOTHESIS: The release of podocyte-derived microparticles into the urine may reflect early kidney injury in diabetes. We measured the urinary excretion of podocyte-derived microparticles in youth with type 1 and type 2 diabetes, and related the values to blood pressure, renal function and blood glucose levels. METHODS: Cross-sectional, exploratory analysis of urine samples and clinical data from youth with type 1 (n = 53) and type 2 (n = 50) diabetes was carried out. Urinary podocyte-derived microparticle numbers, measured by flow cytometry, were assessed in relation to measures of blood glucose levels and renal function. RESULTS: Podocyte-derived microparticle excretion (MPE) normalised to urinary creatinine (MP/UCr) was higher in type 1 vs type 2 diabetes (median [IQR] MP/UCr: 7.88 [8.97] vs 1.84 [8.62]; p < 0.0001), despite the type 2 diabetes group having higher blood pressure (systolic blood pressure, median [range]: 124 [110-154] vs 114 [94-143] mmHg) and higher proportions of microalbuminuria (44.0% vs 13.2%), but shorter time since diabetes diagnosis (median [range]: 1.2 [0.0-7.0] vs 6.4 [2.0-13.9] years), than the type 1 diabetes cohort. MPE in youth with type 1 diabetes was associated with blood glucose (p = 0.01) and eGFR (p = 0.03) but not HbA1c, systolic or diastolic blood pressure or urine albumin/creatinine ratio. After adjustment for age at baseline, duration of diabetes, sex and BMI, the association with eGFR remained significant (p = 0.04). No associations were found between MPE and these clinical variables in youth with type 2 diabetes. CONCLUSIONS/INTERPRETATION: Significant associations between podocyte MPE, blood glucose levels and eGFR were observed in youth with type 1 diabetes but not in those with type 2 diabetes, notwithstanding increased renal pathology in the type 2 diabetes cohort. These findings suggest that podocyte injury differs in the two diabetes cohorts. Graphical abstract.

The Potential of Albuminuria as a Biomarker of Diabetic Complications.

Diabetes mellitus is a disease of dysregulated blood glucose homeostasis. The current pandemic of diabetes is a significant driver of patient morbidity and mortality, as well as a major challenge to healthcare systems worldwide. The global increase in the incidence of diabetes has prompted researchers to focus on the different pathogenic processes responsible for type 1 and type 2 diabetes. Similarly, increased morbidity due to diabetic complications has accelerated research to uncover pathological changes causing these secondary complications. Albuminuria, or protein in the urine, is a well-recognised biomarker and risk factor for renal and cardiovascular disease. Albuminuria is a mediator of pathological abnormalities in diabetes-associated conditions such as nephropathy and atherosclerosis. Clinical screening and diagnosis of diabetic nephropathy is chiefly based on the presence of albuminuria. Given the ease in measuring albuminuria, the potential of using albuminuria as a biomarker of cardiovascular diseases is gaining widespread interest. To assess the benefits of albuminuria as a biomarker, it is important to understand the association between albuminuria and cardiovascular disease. This review examines our current understanding of the pathophysiological mechanisms involved in both forms of diabetes, with specific focus on the link between albuminuria and specific vascular complications of diabetes.

Progression of Albuminuria Among Patients with Type 1 Diabetes Mellitus: A Long Term Observational Follow-up Study.

BACKGROUND: The purpose of the present study was to determine whether patients with DM1 have shown improvement, stabilization or deterioration of their urine albumin excretion levels during a close follow-up. PATIENTS AND METHODS: A cohort of 84 patients, 18-76 years of age, a median duration of diabetes of 24 years (1-50 years) and a median follow-up duration of 12 years (1-37 years) were included in the study. RESULTS: Among the 84 patients for whom we had UAE levels at the beginning and by the end of the study, mean glycosylated hemoglobin was statistically significantly decreased during the follow-up period, from 8.02±2.04-7.06±1.05% (p=0.036). Normoalbuminuria was present in 66 patients and remained so in 56 patients while 9 patients progressed to microalbuminuria and one patient to macroalbuminuria by the end of the study. Microalbuminuria was present in 15 patients: regression was observed in 8 patients, and progression in one patient. Regression of macroalbuminuria to microalbuminuria was noted in one patient and to normoalbuminuria was noted in one participant, too. CONCLUSIONS: Improvement of glycemic control with close monitoring of DM1 patients together with the appropriate use ACE or AT2 inhibitors and statins, seems to exert nephron-protective potential and to delay or even reverse the presence of micro/macroalbuminuria. This long term follow-up study has demonstrated a statistically significant increase in serum HDLcholesterol levels. The study also revealed that intensively treated diabetes patients may show reductions in serum ALP levels. Whether this finding is related to diabetic nephropathy, NAFLD, or diabetic hepatosclerosis remains to be assessed in future trials.

Evaluation of Vitamin D Metabolism in Patients with Type 1 Diabetes Mellitus in the Setting of Cholecalciferol Treatment.

In this prospective controlled study, we examined 25 adults with adequately controlled (HbA1c level < 8.0%) type 1 diabetes mellitus (T1DM) and 49 conditionally healthy adults, intending to reveal the diversity of vitamin D metabolism in the setting of cholecalciferol intake at a therapeutic dose. All patients received a single dose (150,000 IU) of cholecalciferol aqueous solution orally. Laboratory assessments including serum vitamin D metabolites (25(OH)D3, 25(OH)D2, 1,25(OH)2D3, 3-epi-25(OH)D3 and 24,25(OH)2D3), free 25(OH)D, vitamin D-binding protein (DBP) and parathyroid hormone (PTH) as well as serum and urine biochemical parameters were performed before the intake and on Days 1, 3 and 7 after the administration. The studied groups had no significant differences in baseline parameters except that the patients with diabetes showed higher baseline levels of free 25(OH)D (p < 0.05). They also lacked a correlation between the measured and calculated free 25(OH)D in contrast to the patients from the control group (r = 0.41, p > 0.05 vs. r = 0.88, p < 0.05), possibly due to the glycosylation of binding proteins, which affects the affinity constant for 25(OH)D. The elevation of vitamin D levels after the administration of cholecalciferol was comparable in both groups, with slightly higher 25(OH)D3 levels observed in the diabetes group throughout the study since Day 1 (p < 0.05). Overall, our data indicate that in patients with adequately controlled T1DM 25(OH)D3 levels and the therapeutic response to cholecalciferol is similar to that in healthy individuals.

A Targeted Multiomics Approach to Identify Biomarkers Associated with Rapid eGFR Decline in Type 1 Diabetes.

BACKGROUND: Individuals with type 1 diabetes (T1D) demonstrate varied trajectories of estimated glomerular filtration rate (eGFR) decline. The molecular pathways underlying rapid eGFR decline in T1D are poorly understood, and individual-level risk of rapid eGFR decline is difficult to predict. METHODS: We designed a case-control study with multiple exposure measurements nested within 4 well-characterized T1D cohorts (FinnDiane, Steno, EDC, and CACTI) to identify biomarkers associated with rapid eGFR decline. Here, we report the rationale for and design of these studies as well as results of models testing associations of clinical characteristics with rapid eGFR decline in the study population, upon which "omics" studies will be built. Cases (n = 535) and controls (n = 895) were defined as having an annual eGFR decline of ≥3 and <1 mL/min/1.73 m2, respectively. Associations of demographic and clinical variables with rapid eGFR decline were tested using logistic regression, and prediction was evaluated using area under the curve (AUC) statistics. Targeted metabolomics, lipidomics, and proteomics are being performed using high-resolution mass-spectrometry techniques. RESULTS: At baseline, the mean age was 43 years, diabetes duration was 27 years, eGFR was 94 mL/min/1.73 m2, and 62% of participants were normoalbuminuric. Over 7.6-year median follow-up, the mean annual change in eGFR in cases and controls was -5.7 and 0.6 mL/min/1.73 m2, respectively. Younger age, longer diabetes duration, and higher baseline HbA1c, urine albumin-creatinine ratio, and eGFR were significantly associated with rapid eGFR decline. The cross-validated AUC for the predictive model incorporating these variables plus sex and mean arterial blood pressure was 0.74 (95% CI: 0.68-0.79; p < 0.001). CONCLUSION: Known risk factors provide moderate discrimination of rapid eGFR decline. Identification of blood and urine biomarkers associated with rapid eGFR decline in T1D using targeted omics strategies may provide insight into disease mechanisms and improve upon clinical predictive models using traditional risk factors.

Microalbuminuria in type 1 diabetes mellitus children in University of Port Harcourt Teaching Hospital, Nigeria.

INTRODUCTION: glycaemic control is usually best achieved using the basal bolus regimen, however, this is not always available in resource-limited settings. Long-term complications like renal parenchymal disease are consequences of poor glycaemic control. Screening type 1 diabetes patients irrespective of their disease duration was used to buttress the need for ethical principles of justice to be incorporated in the care of type 1 diabetes children. METHODS: urine albumin creatinine ratio (UAC) was calculated for 20 type 1 diabetes mellitus children in the endocrinology clinic after submitting early morning urine over a 4-month period. The calculated ratio was compared between duration of disease (< 5 years and > 5 years) and between insulin regimen types (mixtard and basal bolus). Repeat tests were done for children who had elevated UAC ratio levels after 2 months. RESULTS: there were 5 males and 15 females and the mean UAC ratio of the cohort was 123mg/g with a range of 5.30 - 906 mg/g. Twelve children (8 diagnosed less than 5 years) had UAC ratio ≥ 30mg/g with a mean of 193.15. The repeat mean UAC ratio for these was 144.35 mg/g. Children who had diabetes for more than 5 years and were on mixtard had higher UAC ratio than those with diabetes < 5 years and on basal bolus. CONCLUSION: the prevalence of microalbuminuria is high in our cohort of type 1 diabetes children and these were children on mixtard and had diabetes greater than 5 years.

[Early detection by urinary proteome analysis : A new concept in patient management of diabetic nephropathy]. / Früherkennung mittels Urinproteomanalyse : Ein neues Konzept im Patientenmanagement der diabetischen Nephropathie.

BACKGROUND: The early detection and treatment of diabetic nephropathy (DN) is of crucial importance as patients with diabetes mellitus represent the largest proportion of patients on dialysis, with the highest morbidity and mortality. Currently, the first clinical sign of incipient DN is microalbuminuria, but its precision is not optimal. Many studies now report that proteins and peptides are new biomarkers in urine that primarily depict the pathophysiology of DN and thus allow for improved diagnosis of DN. OBJECTIVES: The presentation of new concepts for the early detection and treatment of DN for better patient management. MATERIAL AND METHODS: A systematic literature search was carried out. RESULTS: Many potential markers have been described in the search for new biomarkers to diagnose DN by urinary proteome analysis. However, many of these studies were not meaningful due to the small number of samples. This limitation led to inadequate validation of proteins that could not be confirmed as markers. However, the diagnostic benefit of CKD 273, a multimarker of 273 protein fragments, was sustainably demonstrated for the early diagnosis of DN. This multi-marker shows significant advantages in the precision of diagnosis and prognosis compared to albuminuria. Furthermore, many of its peptide markers map the molecular pathophysiology of DN. CONCLUSIONS: Clinical urinary proteome analysis shows great benefits and is already an appropriate tool for the early detection of incipient DN.

Improved Time in Range Over 1 Year Is Associated With Reduced Albuminuria in Individuals With Sensor-Augmented Insulin Pump-Treated Type 1 Diabetes.

OBJECTIVE: To investigate the association between treatment-induced change in continuous glucose monitoring (CGM) time in range (TIR) and albuminuria in persons with type 1 diabetes (T1D) treated with sensor-augmented insulin pumps (SAP). RESEARCH DESIGN AND METHODS: Twenty-six out of 55 participants with albuminuria and multiple daily injection therapy (25% females; median 51 [interquartile range 46-63] years of age; glycated hemoglobin A1c (HbA1c) 75 [68-88] mmol/mol [9.0% (8.4-10.4%)]; and urinary albumin-to-creatinine ratio (UACR) 89 [37-250] mg/g) were in a randomized controlled trial assigned to SAP therapy for 1 year. Anthropometrics, CGM data, and blood and urine samples were collected every 3 months. RESULTS: Mean change (95% CI) in percentage of TIR (%TIR) was 13.2% (6.2; 20.2), in HbA1c was -14.4 (-17.4; -10.5) mmol/mol (-1.3% [-1.6; -1.0]), and in UACR was -15% (-38; 17) (all P < 0.05). UACR decreased by 19% (10; 28) per 10% increase in %TIR (P = 0.04), 18% (1; 30) per 10 mmol/mol decrease in HbA1c (P = 0.07), and 31% per 10-mmHg decrease in mean arterial pressure (P < 0.001). CONCLUSIONS: In this longitudinal study, treatment-induced increase in %TIR was significantly associated with decrease in albuminuria in T1D.

High fractional excretion of glycation adducts is associated with subsequent early decline in renal function in type 1 diabetes.

Increased protein glycation, oxidation and nitration is linked to the development of diabetic nephropathy. We reported levels of serum protein glycation, oxidation and nitration and related hydrolysis products, glycation, oxidation and nitration free adducts in patients with type 1 diabetes (T1DM) during onset of microalbuminuria (MA) from the First Joslin Kidney Study, a prospective case-control study of patients with T1DM with and without early decline in GFR. Herein we report urinary excretion of the latter analytes and related fractional excretion values, exploring the link to MA and early decline in GFR. We recruited patients with T1DM and normoalbuminuria (NA) (n = 30) or new onset MA with and without early GFR decline (n = 22 and 33, respectively) for this study. We determined urinary protein glycation, oxidation and nitration free adducts by stable isotopic dilution analysis liquid chromatography-tandem mass spectrometry (LC-MS/MS) and deduced fractional excretion using reported plasma levels and urinary and plasma creatinine estimates. We found urinary excretion of pentosidine was increased ca. twofold in patients with MA, compared to normoalbuminuria (0.0442 vs 0.0103 nmol/mg creatinine, P < 0.0001), and increased ca. threefold in patients with early decline in GFR, compared to patients with stable GFR (0.0561 vs 0.0176 nmol/mg creatinine, P < 0.01). Urinary excretion of all other analytes was unchanged between the study groups. Remarkably, fractional excretions of 6 lysine and arginine-derived glycation free adducts were higher in patients with early decline in GFR, compared to those with stable GFR. Impaired tubular reuptake of glycation free adducts by lysine and arginine transporter proteins in patients with early GFR decline is likely involved. We conclude that higher fractional excretions of glycation adducts are potential biomarkers for early GFR decline in T1DM and MA. Measurement of these analytes could provide the basis for identifying patients at risk of early decline in renal function to target and intensify renoprotective treatment.

Lipid Biomarkers as Predictors of Diastolic Dysfunction in Diabetes with Poor Glycemic Control.

Uncontrolled type-1 diabetes (T1DM) can lead to dyslipidaemia and albuminuria, which may promote cardiovascular injuries. However, some lipidemic factors could be useful in predicting cardiac dysfunction. Seventy-eight adolescents under insulin treatment due to a 6-year history of T1DM and were retrospectively examined. Glycemia, lipidemia, and albuminuria were measured in addition to development of cardiovascular abnormalities Both girls and boys showed higher HbA1c and fasting blood glucose and 27.1% females and 33.3% males exhibited microalbuminuria though their plasma levels of total cholesterol (TC), triglycerides (TG), and low-density lipoproteins (LDL) and high-density lipoproteins (HDL lipoproteins were in the normal range. They exhibited a preserved systolic function, but 50% of females and 66.6% of males had developed diastolic failures. Interestingly, girls with diastolic dysfunction showed significantly lower concentrations of HDL and higher TC/HDL and TG/HDL ratios. In fact, low HDL levels (OR 0.93; 95% CI 0.88-0.99; p = 0.029) and high TC/HDL (OR 2.55; 95% CI 1.9-5.45; p = 0.016) and TG/HDL (OR 2.74; 95% CI 1.12-6.71; p = 0.028) ratios associated with the development of diastolic complications. The cut-off values for HDL, TC/HDL, and TG/HDL were 49 mg/dL, 3.0 and 1.85, respectively. HDL and TC/HDL and TG/HDL ratios may be useful for predicting diastolic dysfunction in girls with uncontrolled T1DM.

The application of metabolomics in investigating anti-diabetic activity of medicinal plants.

Diabetes mellitus is the most prevalent endocrine disease in the world and is likely to be the major epidemic in human history. In current years, many modern anti-diabetic medicines have been produced and introduced into the markets, however, long-term treatment of diabetes using synthetic drugs is limited. Medicinal plants play a great role in the treatment of diabetes. Many medicinal plants and their related traditional treatments for diabetes are used throughout the world and represent promising alternatives for the management of diabetes treatment. Metabolomics researches on diabetes have contributed to many aspects of exploring biomarkers and understanding the progression of the disease at metabolic levels. In addition, in the last decade, a number of metabolomics studies have focused on investigating the action mechanism of various herbal medicines. This paper aims to highlight and review a series of metabolomics studies that carried out on the role of herbal medicines on obesity and diabetes, finding potential biomarkers and also characterizing the metabolic disturbances associated with diabetes development. The findings showed that the metabolism of glycolysis/gluconeogenesis (glucose, pyruvate, lactate), TCA cycle (succinate, citrate, ß-hydroxybutyrate, 2-oxoglutarate), lipid metabolism (acetoacetate, acetate) and amino acid metabolic pathways (valine, leucine, and isoleucine, hippurate, creatine) were more significantly disturbed metabolic pathways and biomarkers in diabetic models and herbal medicines affect these metabolic pathways by different mechanisms.

Urinary proteomics links keratan sulfate degradation and lysosomal enzymes to early type 1 diabetes.

Diabetes is the leading cause of end-stage renal disease worldwide. Our understanding of the early kidney response to chronic hyperglycemia remains incomplete. To address this, we first investigated the urinary proteomes of otherwise healthy youths with and without type 1 diabetes and subsequently examined the enriched pathways that might be dysregulated in early disease using systems biology approaches. This cross-sectional study included two separate cohorts for the discovery (N = 30) and internal validation (N = 30) of differentially excreted proteins. Discovery proteomics was performed on a Q Exactive Plus hybrid quadrupole-orbitrap mass spectrometer. We then searched the pathDIP, KEGG, and Reactome databases to identify enriched pathways in early diabetes; the Integrated Interactions Database to retrieve protein-protein interaction data; and the PubMed database to compare fold changes of our signature proteins with those published in similarly designed studies. Proteins were selected for internal validation based on pathway enrichment and availability of commercial enzyme-linked immunosorbent assay kits. Of the 2451 proteins identified, 576 were quantified in all samples from the discovery cohort; 34 comprised the urinary signature for early diabetes after Benjamini-Hochberg adjustment (Q < 0.05). The top pathways associated with this signature included lysosome, glycosaminoglycan degradation, and innate immune system (Q < 0.01). Notably, all enzymes involved in keratan sulfate degradation were significantly elevated in urines from youths with diabetes (|fold change| > 1.6). Increased urinary excretion of monocyte differentiation antigen CD14, hexosaminidase A, and lumican was also observed in the validation cohort (P < 0.05). Twenty-one proteins from our signature have been reported elsewhere as potential mediators of early diabetes. In this study, we identified a urinary proteomic signature for early type 1 diabetes, of which lysosomal enzymes were major constituents. Our findings highlight novel pathways such as keratan sulfate degradation in the early kidney response to hyperglycemia.

Urinary Cyclophilin A and serum Cystatin C as biomarkers for diabetic nephropathy in children with type 1 diabetes.

BACKGROUND: Currently, microalbuminuria is the gold standard for detection and prediction of diabetic nephropathy (DN). However, microalbuminuria appears once significant kidney damage has actually occurred. OBJECTIVES: We investigated the diagnostic role of urinary Cyclophilin-A (uCypA), uCypA/creatinine ratio (uCypA/Cr) and serum Cystatin-C (sCysC) as biomarkers for early detection of DN in children with type 1 diabetes mellitus (T1DM) of short duration (2-5 years) before microalbuminuria emerges. METHODS: uCypA, uCypA/Cr, and sCysC levels were assessed in three age- and sex-matched groups; microalbuminuric diabetic group (n = 31), normoalbuminuric diabetic group (n = 29), and control group (n = 30). Glomerular filtration rate was estimated (eGFR) based on both serum creatinine (eGFR-Cr) and sCysC (eGFR-CysC). RESULTS: Significantly higher sCysC and lower eGFR-CysC were detected in both diabetic groups compared to controls and in microalbuminuric compared to normoalbuminuric group. No detected significant difference in eGFR-Cr values across the studied groups. Both uCypA and uCypA/Cr were significantly elevated in microalbuminuric compared to both normoalbuminuric and control groups with no difference between normoalbuminuric and control groups. Prediction of microalbuminuria was conducted using sCysC with area under curve up to 0.980. Combined use of sCysC and uCypA had better diagnostic value than uCypA alone. CONCLUSION: sCysC is a promising early biomarker for DN in childhood T1DM before albuminuria detection. eGFR-CysC is superior to eGFR-Cr in evaluating renal status in childhood T1DM. uCypA and uCypA/Cr were useful tools in predicting microalbuminuria, although not regarded as diagnostic biomarkers for early-stage DN in T1DM children by the current study.