Assessment of the Added Value of Intravoxel Incoherent Motion Diffusion-Weighted MR Imaging in Identifying Non-Diabetic Renal Disease in Patients With Type 2 Diabetes Mellitus.

BACKGROUND: Identification of non-diabetic renal disease (NDRD) in patients with type 2 diabetes mellitus (T2DM) may help tailor treatment. Intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) is a promising tool to evaluate renal function but its potential role in the clinical differentiation between diabetic nephropathy (DN) and NDRD remains unclear. PURPOSE: To investigate the added role of IVIM-DWI in the differential diagnosis between DN and NDRD in patients with T2DM. STUDY TYPE: Prospective. POPULATION: Sixty-three patients with T2DM (ages: 22-69 years, 17 females) confirmed by renal biopsy divided into two subgroups (28 DN and 35 NDRD). FIELD STRENGTH/SEQUENCE: 3 T/ T2 weighted imaging (T2WI), and intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI). ASSESSMENT: The parameters derived from IVIM-DWI (true diffusion coefficient [D], pseudo-diffusion coefficient [D*], and pseudo-diffusion fraction [f]) were calculated for the cortex and medulla, respectively. The clinical indexes related to renal function (eg cystatin C, etc.) and diabetes (eg diabetic retinopathy [DR], fasting blood glucose, etc.) were measured and calculated within 1 week before MRI scanning. The clinical model based on clinical indexes and the IVIM-based model based on IVIM parameters and clinical indexes were established and evaluated, respectively. STATISTICAL TESTS: Student's t-test; Mann-Whitney U test; Fisher's exact test; Chi-squared test; Intraclass correlation coefficient; Receiver operating characteristic analysis; Hosmer-Lemeshow test; DeLong's test. P < 0.05 was considered statistically significant. RESULTS: The cortex D*, DR, and cystatin C values were identified as independent predictors of NDRD in multivariable analysis. The IVIM-based model, comprising DR, cystatin C, and cortex D*, significantly outperformed the clinical model containing only DR, and cystatin C (AUC = 0.934, 0.845, respectively). DATA CONCLUSION: The IVIM parameters, especially the renal cortex D* value, might serve as novel indicators in the differential diagnosis between DN and NDRD in patients with T2DM. EVIDENCE LEVEL: 2 TECHNICAL EFFICACY: Stage 2.

Identification of common and specific fibrosis-related genes in three common chronic kidney diseases.

BACKGROUND: Kidney fibrosis is the common final pathway of virtually all advanced forms of chronic kidney disease (CKD) including diabetic nephropathy (DN), IgA nephropathy (IgAN) and membranous nephropathy (MN), with complex mechanism. Comparative gene expression analysis among these types of CKD may shed light on its pathogenesis. Therefore, we conducted this study aiming at exploring the common and specific fibrosis-related genes involved in different types of CKD. METHODS: Kidney biopsy specimens from patients with different types of CKD and normal control subjects were analyzed using the NanoString nCounter® Human Fibrosis V2 Panel. Genes differentially expressed in all fibrotic DN, IgAN and MN tissues compared to the normal controls were regarded as the common fibrosis-related genes in CKD, whereas genes exclusively differentially expressed in fibrotic DN, IgAN or MN samples were considered to be the specific genes related to fibrosis in DN, IgAN and MN respectively. Quantitative real-time PCR (qRT-PCR) was performed to validate the expression of the selected genes. RESULTS: Protein tyrosine phosphatase receptor type C (PTPRC), intercellular cell adhesion molecule-1 (ICAM1), vascular cell adhesion molecule-1 (VCAM1), interleukin 10 receptor alpha (IL10RA) and CC chemokine receptor 2 (CCR2) were identified as the potential common genes for kidney fibrosis in different types of CKD, while peroxisome proliferator-activated receptor alpha (PPARA), lactate oxidase (LOX), secreted phosphoprotein 1 (SPP1) were identified as the specific fibrosis-associated genes for DN, IgAN and MN respectively. qRT-PCR demonstrated that the expression levels of these selected genes were consistent with the NanoString analysis. CONCLUSIONS: There were both commonalities and differences in the mechanisms of fibrosis in different types of CKD, the commonalities might be used as the common therapeutic targets for kidney fibrosis in CKD, while the differences might be used as the diagnostic markers for DN, IgAN and MN respectively. Inflammation was highly relevant to the pathogenesis of fibrosis. This study provides further insight into the pathophysiology and treatment of fibrotic kidney disease.

Prediction of 3-year risk of diabetic kidney disease using machine learning based on electronic medical records.

BACKGROUND: Established prediction models of Diabetic kidney disease (DKD) are limited to the analysis of clinical research data or general population data and do not consider hospital visits. Construct a 3-year diabetic kidney disease risk prediction model in patients with type 2 diabetes mellitus (T2DM) using machine learning, based on electronic medical records (EMR). METHODS: Data from 816 patients (585 males) with T2DM and 3 years of follow-up at the PLA General Hospital. 46 medical characteristics that are readily available from EMR were used to develop prediction models based on seven machine learning algorithms (light gradient boosting machine [LightGBM], eXtreme gradient boosting, adaptive boosting, artificial neural network, decision tree, support vector machine, logistic regression). Model performance was evaluated using the area under the receiver operating characteristic curve (AUC). Shapley additive explanation (SHAP) was used to interpret the results of the best performing model. RESULTS: The LightGBM model had the highest AUC (0.815, 95% CI 0.747-0.882). Recursive feature elimination with random forest and SHAP plot based on LightGBM showed that older patients with T2DM with high homocysteine (Hcy), poor glycemic control, low serum albumin (ALB), low estimated glomerular filtration rate (eGFR), and high bicarbonate had an increased risk of developing DKD over the next 3 years. CONCLUSIONS: This study constructed a 3-year DKD risk prediction model in patients with T2DM and normo-albuminuria using machine learning and EMR. The LightGBM model is a tool with potential to facilitate population management strategies for T2DM care in the EMR era.

STAT3 Inhibition Partly Abolishes IL-33-Induced Bone Marrow-Derived Monocyte Phenotypic Transition into Fibroblast Precursor and Alleviates Experimental Renal Interstitial Fibrosis.

Previous studies of Jak-STAT inhibitors have shown promise in treating kidney diseases. The activation of Jak-STAT components is important in cell fate determination in many cell types, including bone marrow-derived cells, which are important contributors in renal interstitial fibrosis. In this study, we tested the effect of a new STAT3 inhibitor, BP-1-102, on monocyte-to-fibrocyte transition and the progression of renal interstitial fibrosis. We tested the effect of BP-1-102 in a mouse model of unilateral ureteral obstruction in vivo and IL-33-treated bone marrow-derived monocytes in vitro. BP-1-102 treatment alleviated renal interstitial fibrosis, reduced collagen deposition and extracellular matrix protein production, inhibited inflammatory cell infiltration, suppressed the percentage of CD45+ PDGFRß+, CD45+ CD34- Col I+ and CD45+ CD11b+ Col I+ cells within the obstructed kidney and reduced the mRNA levels of the proinflammatory and profibrotic cytokines IL-1ß, TGF-ß, TNF-α, ICAM-1, and CXCL16. In vitro, BP-1-102 inhibited the IL-33-induced phenotypic transition into fibroblast precursors in bone marrow-derived monocytes, marked by reduced CD45+ CD34- Col I+ and CD45+ CD11b+ Col I+ cell percentage. Our results indicate a potential mechanism by which the STAT3 inhibitor BP-1-102 inhibits bone marrow-derived monocyte transition into fibroblast precursors in an IL-33/STAT3-dependent manner and thereby alleviates renal interstitial fibrosis.

Evaluation of Renal Microperfusion in Diabetic Patients With Kidney Injury by Contrast-Enhanced Ultrasound.

OBJECTIVES: To conduct a quantitative analysis of renal microvascular perfusion in diabetic patients with kidney injury using contrast-enhanced ultrasound (CEUS). METHODS: A total of 172 patients with type 2 diabetes mellitus and kidney injury were recruited from May 2017 to November 2019. After collection of clinical characteristics, a CEUS examination was performed after injection of the contrast agent SonoVue (Bracco SpA, Milan, Italy). Time-intensity curves and renal perfusion parameters were analyzed. Ultrasound-guided renal biopsy was performed. The patients were divided into a diabetic nephropathy (DN) group and a nondiabetic renal disease (NDRD) group according to renal pathologic results. The discrimination of perfusion parameters between the groups was analyzed statistically with SPSS version 19.0 software (IBM Corporation, Armonk, NY). Receiver operating characteristic curves were used to illustrate the diagnostic performance of indicators. RESULTS: Ninety-eight patients, including 45 with DN (29 male; mean age ± SD, 57.76 ± 10.47 years) and 53 with NDRD (40 male; mean age, 48.7 ± 13.88 years) were included in this study. The peak enhancement (PE), wash-in the area under the curve (AUC), wash-in rate, wash-in perfusion index, wash-out AUC, wash-in and wash-out AUC, and wash-out rate were significantly different between the groups (P < .05). There were no differences in time-related parameters between the DN and NDRD groups (P > .05). The receiver operating characteristic curve analysis showed that the AUC for PE was 0.727, and PE lower than 7712.426 had diagnostic potential, with sensitivity of 81% and specificity of 40% in discriminating between NDRD and DN. CONCLUSIONS: The quantification of CEUS parameters can discriminate DN in diabetic patients with kidney injury. The PE and AUC may be feasible parameters.

[Value of Contrast-enhanced Ultrasound Parameters in Evaluating K-W Nodule Formation in Diabetic Nephropathy].

Objective To discuss the value of contrast-enhanced ultrasound(CEUS)parameters in evaluating the formation of Kimmelstiel-Wilson(K-W)nodules in diabetic nephropathy(DN).Methods Sixty-two patients pathologically diagnosed with DN and undergoing CEUS in the First Medical Center of Chinese PLA General Hospital from March 2017 to January 2020 were assigned into two groups according to whether K-W nodules were formed.The cortical CEUS parameters and the ratios of cortical to medullary CEUS parameters were compared between the two groups.Results The 62 patients included 19 patients without K-W nodules(group A)and 43 patients with K-W nodules(group B).The median rise time(U=209,P=0.013)and fall time(U=197,P=0.007)in group B were significantly longer than those in group A.The median wash-in rate(WiR)(U=228,P=0.031)and wash-out rate(WoR)(U=229,P=0.032)in group B were significantly lower than those in group A.The median peak enhancement(PE)1/PE2(U=224,P=0.026),WiR1/WiR2(U=235,P=0.041),and WoR1/WoR2(U=230,P=0.043)ratios in group B were significantly lower than those in group A.The median FT1/FT2 ratio in group B was significantly higher than that in group A(U=227,P=0.038).Conclusion CEUS parameters can be used to quantitatively evaluate renal cortical microperfusion in DN patients with K-W nodules.

Better pulmonary function is associated with greater handgrip strength in a healthy Chinese Han population.

BACKGROUND: Handgrip strength (HGS) has been widely studied in clinical and epidemiological settings, but the relationship between HGS and pulmonary function is still controversial. This study analysed pulmonary function and HGS stratified by sex and age in a healthy Chinese Han population, as well as the associations between HGS and pulmonary function parameters. METHODS: HGS was measured by a Jamar dynamometer and pulmonary function was tested using a portable spirometer. Frequencies and variables are presented as percentages and means ± standard deviations, respectively. Chi-square tests were used for comparisons of categorical variables, and Student's t-tests or Mann-Whitney U-tests were used for continuous variables. Pearson's correlation coefficients were used to analyse the normally distributed variables, and Spearman correlation coefficients were used to analyse the non-normally distributed variables. Multivariate linear regression models were employed to explore the relationships between HGS and parameters of pulmonary function. The statistical significance was set at p < 0.01. RESULTS: Cross-sectional data were available for 1519 subjects (59.0% females, 57.9 ± 13.3 years old). Males had higher average HGS than females (40.2 vs. 25.0 kg, p < 0.01), as well as better pulmonary function. Both HGS and pulmonary function parameters were significantly inversely correlated with age (r ≤ - 0.30, p < 0.01). The maximum value of vital capacity (VC max), forced expiratory volume in 3 s (FEV 3) and forced vital capacity (FVC) were strongly correlated with HGS among the pulmonary function indices (r = 0.72, 0.70 and 0.69, respectively, p < 0.001). In the multivariate linear regression analysis, HGS and height were positively correlated, while age and pulse pressure were negatively correlated with HGS. In males, the FVC, VC max and FEV3 increased by 0.02 L, 0.023 L and 0.03 L in per 1 kg increase in HGS, respectively. The HGS coefficients for females were smaller than those for males. CONCLUSIONS: Both pulmonary function and HGS were inversely correlated with age, and better pulmonary function was associated with greater handgrip strength.

Knockdown of Cxcl10 Inhibits Mesangial Cell Proliferation in Murine Habu Nephritis Via ERK Signaling.

BACKGROUND/AIMS: IFN-γ-inducible protein 10 (IP-10, CXCL10) has been widely demonstrated to be involved in chemotaxis, cell growth regulation and angiogenesis inhibition. It has been reported that CXCL10 expression is significantly increased in patients with MesPGN (Mesangial proliferative glomerulonephritis). However, the underlying mechanism of CXCL10 in MesPGN reminds unclear. METHODS: Wildtype (Cxcl10+/+) mice and Cxcl10-deficient (Cxcl10-/-) mice were used to generate a murine model of MesPGN. The histological changes in glomeruli were examined by PAS staining (Periodic Acid-Schiff staining), and cell proliferation was detected by PCNA immunohistochemistry staining. The expression of cell cycle regulatory proteins was analyzed by Western blotting and the effects of CXCL10 on primary mouse renal mesangial cells (MRMC) proliferation were detected using the EDU assay. Furthermore, the specific mechanisms by which CXCL10 affected mesangial cells were investigated in vitro using a specific inhibitor. RESULTS: Typical pathological phenotypes were observed in both mouse types, while the Cxcl10-/- mice had lighter accumulation of extracellular matrix, less cell proliferation and diminished up-regulation of cell cycle regulatory proteins compared to Cxcl10+/+ mice at day 7. Furthermore, we observed that CXCL10 inhibition resulted in less activation of ERK phosphorylation, and ERK pathway inhibition by a specific inhibitor, U0126, prevented CXCL10 induced MRMC proliferation and the activation of phosphorylated ERK. CONCLUSIONS: CXCL10 may aggravate mesangial proliferation in MesPGN by activating the ERK signaling pathway. These results provide a novel insight into the mechanism and potential therapy target of MesPGN.

Effect of Huaier On the Proliferation of Mesangial Cells in Anti-Thy-1 Nephritis.

BACKGROUND/AIMS: To determine whether an aqueous extract of Trametes robiniophila Murr. (Huaier) suppresses anti-Thy-1 mesangial proliferative glomerulonephritis (MsPGN) in vivo and platelet-derived growth factor (PDGF)-BB-induced mesangial cell proliferation in vitro. METHODS: Male Wistar rats were randomly categorized into 5 groups: Sham, Thy-1, and 3 Huaier-treated groups (low, medium, and high dose). Two weeks after treatment, urinary proteins were quantified and renal pathological changes were examined. MAX interactor 1 (Mxi-1) and proliferating cell nuclear antigen (PCNA) expression levels in isolated glomeruli, rat mesangial cell viability, cell-cycle distribution, and cell-cycle pathways were assessed. RESULTS: Huaier diminished the proliferative damages and urinary protein secretion in Thy-1 rats. PCNA was downregulated, whereas Mxi-1 was upregulated in the isolated glomeruli of Huaier-treated groups compared with the Thy-1 group. Huaier inhibited PDGF-BB- stimulated proliferation of rat mesangial cells in a time- and dose-dependent manner (50% inhibitory concentration = 6.19 mg/mL) and induced G2 cell-cycle arrest. Cell-cycle pathway proteins were downregulated, whereas Mxi-1 was upregulated in Huaier-treated mesangial cells compared with PDGF-BB-stimulated cells. CONCLUSION: Huaier reduces urinary protein excretion and relieves hyperplasia in mesangial cells in anti-Thy-1 MsPGN as well as inhibits PDGF-BB-stimulated proliferation and DNA synthesis of rat mesangial cells in vitro, suggesting its novel therapeutic potential in MsPGN.

Optical coherence tomography angiography for the differentiation of diabetic nephropathy from non-diabetic renal disease.

BACKGROUND: To provide a new non-invasive method for the differentiation of diabetic nephropathy (DN) from non-diabetic renal disease (NDRD) by assessing retinal microstructure using optical coherence tomography angiography (OCTA). METHODS: OCTA parameters were recorded and their relationship with DN was analysed. A differential diagnosis regression model for DN was established, and the diagnostic efficiency was evaluated. RESULTS: Based on the pathological results of renal biopsy, 31 DN patients and 35 NDRD patients were included. Multivariate logistic regression analysis showed that DN was independently associated with the following parameters: 15.3 mm-1 ≤ vessel density (VD) full < 17.369 mm-1 (odds ratio [OR]=8.523; 95% confidence interval [CI]=1.387-52.352; P = 0.021), VD full < 15.3 mm-1 (OR=8.202; 95% CI=1.110-60.623; P = 0.039), DM duration > 60 months (OR=7.588; 95% CI=1.569-36.692; P = 0.012), and estimated glomerular filtration rate < 60 mL/min/1.73 m2 (OR=24.484; 95% CI=4.308-139.142; P < 0.001). The area under the receiver operating characteristic curve was 0.911, indicating a high diagnostic efficiency. CONCLUSIONS: VD full < 17.369 mm-1, DM duration > 60 months, and eGFR < 60 mL/min/1.73 m2 may indicate the presence of DN. OCTA may be an effective non-invasive method for identifying DN and NDRD.

Machine learning model for cardiovascular disease prediction in patients with chronic kidney disease.

Introduction: Cardiovascular disease (CVD) is the leading cause of death in patients with chronic kidney disease (CKD). This study aimed to develop CVD risk prediction models using machine learning to support clinical decision making and improve patient prognosis. Methods: Electronic medical records from patients with CKD at a single center from 2015 to 2020 were used to develop machine learning models for the prediction of CVD. Least absolute shrinkage and selection operator (LASSO) regression was used to select important features predicting the risk of developing CVD. Seven machine learning classification algorithms were used to build models, which were evaluated by receiver operating characteristic curves, accuracy, sensitivity, specificity, and F1-score, and Shapley Additive explanations was used to interpret the model results. CVD was defined as composite cardiovascular events including coronary heart disease (coronary artery disease, myocardial infarction, angina pectoris, and coronary artery revascularization), cerebrovascular disease (hemorrhagic stroke and ischemic stroke), deaths from all causes (cardiovascular deaths, non-cardiovascular deaths, unknown cause of death), congestive heart failure, and peripheral artery disease (aortic aneurysm, aortic or other peripheral arterial revascularization). A cardiovascular event was a composite outcome of multiple cardiovascular events, as determined by reviewing medical records. Results: This study included 8,894 patients with CKD, with a composite CVD event incidence of 25.9%; a total of 2,304 patients reached this outcome. LASSO regression identified eight important features for predicting the risk of CKD developing into CVD: age, history of hypertension, sex, antiplatelet drugs, high-density lipoprotein, sodium ions, 24-h urinary protein, and estimated glomerular filtration rate. The model developed using Extreme Gradient Boosting in the test set had an area under the curve of 0.89, outperforming the other models, indicating that it had the best CVD predictive performance. Conclusion: This study established a CVD risk prediction model for patients with CKD, based on routine clinical diagnostic and treatment data, with good predictive accuracy. This model is expected to provide a scientific basis for the management and treatment of patients with CKD.

Influence of sodium/glucose cotransporter-2 inhibitors on the incidence of acute kidney injury: a meta-analysis.

Background: Sodium/glucose cotransporter-2 inhibitors (SGLT2i) are associated with cardiovascular benefits. The aim of this systematic review and meta-analysis is to summarize the influence of SGLT2i on the incidence of acute kidney injury (AKI), and to ascertain whether it is affected by confounding variables such as age, baseline renal function and concurrent use of renin-angiotensin-aldosterone system inhibitors (RAASi) or mineralocorticoid receptor antagonists (MRA). Methods: PubMed, Embase, and Cochrane Library databases were searched for randomized controlled trials comparing the influence of SGLT2i versus placebo/blank treatment on AKI in the adult population. A fixed-effect model was used if the heterogeneity was not significant; otherwise, a randomized-effect model was used. Results: Eighteen studies comprising 98,989 patients were included. Compared with placebo/blank treatment, treatment with SGLT2i significantly reduced the risk of AKI (risk ratio [RR]: 0.78, 95% confidence interval [CI]: 0.71 to 0.84, p < 0.001; I 2 = 0%). Subgroup analysis suggested consistent results in patients with diabetes, chronic kidney disease, and heart failure (for subgroup difference, p = 0.32). Finally, univariate meta-regression suggested that the influence of SGLT2i on the risk of AKI was not significantly modified by variables such as age (coefficient: 0.011, p = 0.39), baseline estimated glomerular filtration rate (coefficient: -0.0042, p = 0.13) or concomitant use of RAASi (coefficient: 0.0041, p = 0.49) or MRA (coefficient: -0.0020, p = 0.34). Conclusion: SGLT2i may be effective in reducing the risk of AKI, and the effect might not be modified by age, baseline renal function and concurrent use of RAASi or MRA.

The relationship between diabetic retinopathy and diabetic nephropathy in type 2 diabetes.

Context: Diabetic retinopathy (DR) and diabetic nephropathy (DN), are major microvascular complications of diabetes. DR is an important predictor of DN, but the relationship between the severity of DR and the pathological severity of diabetic glomerulopathy remains unclear. Objective: To investigate the relationship between severity of diabetic retinopathy (DR) and histological changes and clinical indicators of diabetic nephropathy (DN) in patients with type 2 diabetes mellitus (T2DM). Methods: Patients with T2DM (n=272) who underwent a renal biopsy were eligible. Severity of DR was classified as non-diabetic retinopathy, non-proliferative retinopathy, and proliferative retinopathy (PDR). Relationship between DN and DR and the diagnostic efficacy of DR for DN were explored. Results: DN had a higher prevalence of DR (86.4%) and DR was more severe. The sensitivity and specificity of DR in DN were 86.4% and 78.8%, while PDR was 26.4% and 98.5%, respectively. In DN patients, the severity of glomerular lesions (p=0.001) and prevalence of KW nodules (p<0.001) significantly increased with increasing severity of DR. The presence of KW nodules, lower hemoglobin levels, and younger age were independent risk factors associated with more severe DR in patients with DN. Conclusion: DR was a good predictor of DN. In DN patients, the severity of DR was associated with glomerular injury, and presence of KW nodules, lower hemoglobin levels and younger age were independent risk factors associated with more severe DR. Trial registration: ClinicalTrails.gov, NCT03865914.

Arterial stiffness is associated with handgrip strength in relatively healthy Chinese older adults.

Background: Increased arterial stiffness and low handgrip strength (HGS) are associated with poor health outcomes and are a severe health risk for older adults. However, there is limited evidence and mixed results on whether there is an association between them. Therefore, this study focused on the association between arterial stiffness and HGS in relatively healthy older adults in Beijing, China. Methods: In 2016, 2,217 adult volunteers were recruited in Beijing. Brachial-ankle pulse wave velocity (baPWV) and the ankle-brachial index were measured using an automatic vascular profiling system. Carotid artery intima-media thickness and common carotid artery-internal diameter (CCAID) were evaluated using Doppler ultrasound, and HGS was measured with a dynamometer. Low HGS was determined using the Asian Sarcopenia Working Group 2019 criteria. Multivariate linear and logistic regressions evaluated the relationship between arterial stiffness and HGS. Results: Ultimately, 776 relatively healthy older adults (mean age 69.05 ± 6.46 years) were included. Based on the AWGS2019 criteria, 137 participants were defined as having low HGS. Compared to the normal HGS group, the low HGS group was older and had higher baPWV (p < 0.001) but lower CCAID, body mass index (BMI) and hemoglobin (Hb) (p < 0.05). The multiple linear regression analysis revealed that baPWV was negatively correlated with HGS (ß = -0.173, t = -2.587, p = 0.01). Multivariate logistic regression analysis showed that baPWV and CCAID were associated with an increased risk of low HGS (odds ratio (OR) per SD increase: 1.318, p = 0.007; OR per SD increase: 0.541, p < 0.001). Conclusion: Arterial stiffness and HGS were significantly negatively correlated in relatively healthy Chinese older adults. Low HGS is associated with increased arterial stiffness. Encouraging exercise training to improve HGS, thereby reducing arterial stiffness and the risk of cardiovascular events, may be a simple and effective intervention.

Validity and applicability of the global leadership initiative on malnutrition criteria in non-dialysis patients with chronic kidney disease.

Introduction: There are no standardized assessment criteria for selecting nutritional risk screening tools or indicators to assess reduced muscle mass (RMM) in the Global Leadership Initiative on Malnutrition (GLIM) criteria. We aimed to compare the consistency of different GLIM criteria with Subjective Global Assessment (SGA) and protein-energy wasting (PEW). Methods: In this study, nutritional risk screening 2002 first four questions (NRS-2002-4Q), Nutritional Risk Screening 2002 (NRS-2002), Malnutrition Universal Screening Tool (MUST), and Mini-Nutritional Assessment Short-Form (MNA-SF) tools were used as the first step of nutritional risk screening for the GLIM. The RMM is expressed using different metrics. The SGA and PEW were used to diagnose patients and classify them as malnourished and non-malnourished. Kappa (κ) tests were used to compare the concordance between the SGA, PEW, and GLIM of each combination of screening tools. Results: A total of 157 patients were included. Patients with Chronic kidney disease (CKD) stage 1-3 accounted for a large proportion (79.0%). The prevalence rates of malnutrition diagnosed using the SGA and PEW were 18.5% and 19.7%, respectively. The prevalence of GLIM-diagnosed malnutrition ranges from 5.1% to 37.6%, depending on the different screening methods for nutritional risk and the different indicators denoting RMM. The SGA was moderately consistent with the PEW (κ = 0.423, p < 0.001). The consistency among the GLIM, SGA, and PEW was generally low. Using the NRS-2002-4Q to screen for nutritional risk, GLIM had the best agreement with SGA and PEW when skeletal muscle index (SMI), fat-free mass index (FFMI), and hand grip strength (HGS) indicated a reduction in muscle mass (SGA: κ = 0.464, 95% CI 0.28-0.65; PEW: κ = 0.306, 95% CI 0.12-0.49). Conclusion: The concordance between the GLIM criteria and the SGA and PEW depended on the screening tool used in the GLIM process. The inclusion of RMM in the GLIM framework is important. The addition of HGS could further improve the performance of the GLIM standard compared to the use of body composition measurements.

Progress in the study of aging marker criteria in human populations.

The use of human aging markers, which are physiological, biochemical and molecular indicators of structural or functional degeneration associated with aging, is the fundamental basis of individualized aging assessments. Identifying methods for selecting markers has become a primary and vital aspect of aging research. However, there is no clear consensus or uniform principle on the criteria for screening aging markers. Therefore, we combine previous research from our center and summarize the criteria for screening aging markers in previous population studies, which are discussed in three aspects: functional perspective, operational implementation perspective and methodological perspective. Finally, an evaluation framework has been established, and the criteria are categorized into three levels based on their importance, which can help assess the extent to which a candidate biomarker may be feasible, valid, and useful for a specific use context.

Vaccinium as Potential Therapy for Diabetes and Microvascular Complications.

Diabetes mellitus is one of the most critical global health concerns, with a fast-growing prevalence. The incidence of diabetic vascular complications is also rapidly increasing, exacerbating the burden on individuals with diabetes and the consumption of public medical resources. Despite the overall improvements in the prevention, diagnosis, and treatment of diabetic microvascular complications in recent years, safe and effective alternative or adjunctive therapies are urgently needed. The mechanisms underlying diabetic vascular complications are complex, with hyperglycemia-induced oxidative stress and inflammation being the leading causes. Therefore, glycemic control, antioxidation, and anti-inflammation are considered the main targets for the treatment of diabetes and its vascular comorbidities. Vaccinium L. (Ericaceae) is a genus of plants enriched with polyphenolic compounds in their leaves and fruits. Vaccinium and its extracts have demonstrated good bioactivity in reducing blood glucose, oxidative stress, and inflammation, making them excellent candidates for the management of diabetes and diabetic vascular complications. Here, we review recent preclinical and clinical studies on the potential effect of Vaccinium on ameliorating diabetes and diabetic complications, particularly diabetic kidney disease and diabetic retinopathy.

Efficacy and Safety of Mizoribine for the Treatment of Refractory Nephrotic Syndrome: Protocol for a Multicenter, Controlled, Open-label, Randomized Controlled Trial.

BACKGROUND: Nephrotic syndrome that is resistant to steroid therapy is termed refractory nephrotic syndrome (RNS), a condition that is associated with an increased risk of end-stage renal disease. Immunosuppressants are used to treat RNS; however, prolonged use may lead to significant adverse effects. Mizoribine (MZR) is a novel agent used in long-term immunosuppressive therapy, which has few adverse effects, but data on its long-term use in patients with RNS are unavailable. OBJECTIVE: We propose a trial to examine the efficacy and safety of MZR compared with cyclophosphamide (CYC) in Chinese adult patients with RNS. METHODS: This is a multicenter, randomized, controlled interventional study with a screening phase (1 week) and a treatment phase (52 weeks). This study has been reviewed and approved by the Medical Ethics Committees of all 34 medical centers that are participating. Patients with RNS consent to participation, and are enrolled and randomized to an MZR group or a CYC group (1:1 ratio), with each group receiving tapering doses of oral corticosteroids. Participants are assessed for adverse effects, and laboratory results are collected at 8 visits during the treatment phase (weeks 4, 8, 12, 16, 20, 32, 44, and 52 [exit visit]). Participants are able to withdraw voluntarily, and investigators are required to remove patients when there are safety concerns or deviations from the protocol. RESULTS: The study started in November 2014 and was completed in March 2019. A total of 239 participants from 34 hospitals in China have been enrolled. Data analysis has been completed. The results are being finalized by the Center for Drug Evaluation. CONCLUSIONS: This study examines the safety and efficacy of MZR as a long-term treatment approach for Chinese adults with RNS. It is the longest lasting and largest randomized controlled trial to examine MZR in Chinese patients. The results can help determine whether RNS should be considered as an additional indication for MZR treatment in China. TRIAL REGISTRATION: ClinicalTrials.gov NCT02257697; https://clinicaltrials.gov/ct2/show/NCT02257697. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR1-10.2196/46101.

Regulation of pericyte metabolic reprogramming restricts the AKI to CKD transition.

BACKGROUND AND AIMS: Acute kidney injury (AKI) is associated with high morbidity and mortality and is recognized as a long-term risk factor for progression to chronic kidney disease (CKD). The AKI to CKD transition is characterized by interstitial fibrosis and the proliferation of collagen-secreting myofibroblasts. Pericytes are the major source of myofibroblasts in kidney fibrosis. However, the underlying mechanism of pericyte-myofibroblast transition (PMT) is still unclear. Here we investigated the role of metabolic reprogramming in PMT. METHODS: Unilateral ischemia/reperfusion-induced AKI to CKD mouse model and TGF-ß-treated pericyte-like cells were used to detect the levels of fatty acid oxidation (FAO) and glycolysis, and the critical signaling pathways during PMT under the treatment of drugs regulating metabolic reprogramming. RESULTS: PMT is characterized by a decrease in FAO and an increase in glycolysis. Enhancement of FAO by the peroxisome proliferator-activated receptor gamma coactivator-1α (PGC1α) activator ZLN-005 or suppression of glycolysis by the hexokinase 2 (HK2) inhibitor 2-DG can inhibit PMT, preventing the transition of AKI to CKD. Mechanistically, AMPK modulates various pathways involved in the metabolic switch from glycolysis to FAO. Specifically, the PGC1α-CPT1A pathway activates FAO, while inhibition of the HIF1α-HK2 pathway drives glycolysis inhibition. The modulations of these pathways by AMPK contribute to inhibiting PMT. CONCLUSIONS: Metabolic reprogramming controls the fate of pericyte transdifferentiation and targets the abnormal metabolism of pericytes can effectively prevent AKI to CKD transition.

Clinical Factors Associated with Arterial Stiffness in Chronic Kidney Disease.

BACKGROUND: Arterial stiffness influences the prognosis of patients with end-stage kidney disease; however, the factors that promote arterial stiffness in chronic kidney disease (CKD) patients remain unknown. We aimed to explore the clinical factors associated with arterial stiffness in CKD. METHODS: Between September 2017 and September 2022, all CKD patients treated at the Department of Nephrology, General Hospital of the Chinese People's Liberation Army, excluding dialysis patients, were screened and their medical records within the last month were collected. Arterial stiffness was measured by the augmentation index (AIx). The correlative clinical factors with arterial stiffness were explored in different linear regression models. RESULTS: 559 patients were included in the study. AIx@75 increased as the deterioration of CKDG1-CKDG5, with values of 1 (-9, 11), 5.5 (-4, 13.25), 9 (0, 16), 12 (1.5, 23.5), and 22 (13, 28), respectively (Z = 63.03, p < 0.001). Multivariate linear regression analysis showed that AIx@75 was positively associated with female sex (ß = 8.926, 95% confidence interval (CI) 6.291, 11.562, p < 0.001), age (ß = 0. 485, 95% CI 0.39, 0.58, p < 0.001), mean arterial pressure (MAP) (ß = 0.255, 95% CI 0.159, 0.35, p < 0.001), and was negatively associated with ACEI/ARB (ß = -4.466, 95% CI -6.963, -1.969, p < 0.001) and glucocorticoid (ß = -3.163, 95% CI -6.143, -0.183, p = 0.038). Smoking, eGFR, hemoglobin, and cause of disease were associated with AIx@75 in multivariate linear regression models when considering factors partly. CONCLUSIONS: Female, age, smoking, MAP, eGFR, cause of disease, ACEI/ARB, and glucocorticoid were found to be associated with atherosclerosis in CKD patients.