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Additional file 1. Figure S1. Batch normalization of four datasets to remove batch effects. Figure S2. Immune microenvironment characteristics in diabetic nephropathy. Figure S3. Unsupervised clustering of 52 RNA methylation regulatory genes in the meta-GEO cohort. Figure S4. Immune characteristics between high- and low-risk groups.

Purpose To develop and validate a nomogram model to predict the occurrence of acute kidney disease (AKD) after nephrectomy. Patients and methods A retrospective cohort including 378 patients with renal cell carcinoma (RCC) who had undergone radical or partial nephrectomy between March 2013 and December 2017 at the First Affiliated Hospital of Zhengzhou University was analyzed. Of these, patients who had undergone surgery in an earlier period of time formed the training cohort (n=265) for nomogram development, and those who had undergone surgery thereafter formed the validation cohort (n=113) to confirm the model's performance. The incidence rate of AKD was measured. Univariate and multivariate logistics regression analysis was used to estimate the independent risk factors associated with AKD. The independent risk factors were incorporated into the nomogram. The accuracy and utility of the nomogram were evaluated by calibration curve and decision curve analysis, respectively. Results Overall, AKD occurred in 27.5% and 28.3% of patients in the training and validation cohorts, separately. The final nomogram included surgery approach, Charlson comorbidity index (CCI), and the decrement of eGFR. This model achieved good concordance indexes of 0.78 (95% CI=0.71-0.84) and 0.76 (95% CI=0.67-0.86) in the training and validation cohorts, respectively. The calibration curves and decision curve analysis (DCA) demonstrated the accuracy and the clinical usefulness of the proposed nomogram, separately. Conclusion The nomogram accurately predicts AKD after nephrectomy in patients with RCC. The risk for patients' progress into AKD can be determined, which is useful in guiding clinical decisions.

Background : Diabetic nephropathy (DN) is the main cause of chronic kidney disease (CKD) and is one of the most common and serious complications of diabetes mellitus (DM). SIRT1 and TTP are two important protective factors in DN, however, the regulatory relationship between SIRT1 and TTP and the underneath mechanism are interesting but still unclear. Identifying the key factors that regulate SIRT1 or TTP may be of great value to the understanding and treatment of the DN. Methods : in this study, through systematic experimental methods, we found that the expression of miR-138 was significantly up-regulated in DN clinical patients samples, and our experimental results suggested that miR-138 could bind the 3’UTR of SIRT1 and inhibit its expression in both cultured podocytes and db/db mice kidney tissues. Results : furthermore, our in vitro and in vivo date also indicated miR-138 could target SIRT1 and affect TTP through p38 pathway. And down-regulation of miR-138 attenuated podocyte injury and showed some extend of therapeutic effects in DN mice models. Conclusion : our findings reveal that the regulatory axis of miR-138-SIRT1-p38-TTP might play a key role in DN. We believe these findings may be of some value for deepening the understanding of DN and may serve as a reference for future treatment of this disease.

Background: Type 2 diabetes (T2DM) patients are susceptible to Helicobacter pylori (HP), and it has been reported that the occurrence of proteinuria is associated with HP infection in T2DM patients; however, this view remains controversial. This meta-analysis aimed to explore the association between HP infection and the occurrence of proteinuria in T2DM patients. In addition, we hope to provide some recommendations to readers in clinical or related fields. Methods: Our meta-analysis was conducted with the methodology of the Cochrane Collaboration. Search strategies were formulated by relevant professionals. Case–control studies that compared the occurrence of proteinuria in T2DM patients with and without HP infection were involved in our meta-analysis. Relevant English or Chinese studies were searched on online databases before 2018, including PubMed, the Cochrane library, Medline, Google Scholar, the China National Infrastructure, and Wanfang database. The search strategies were "diabetic proteinuria, diabetic microalbuminuria, diabetic albuminuria, diabetic kidney disease, diabetic renal dysfunction, diabetic renal disease, diabetic nephropathy, diabetic complications, and diabetic mellitus, combined with HP." The quality of these involved articles was separately assessed by two investigators using the Newcastle–Ottawa Scale (NOS). Odds ratios (ORs) and associated 95% confidence intervals (CIs) were extracted and pooled using fixed-effects models. Results: Seven studies involving 1029 participants were included. The quality of these seven articles was all above five stars as assessed by NOS, and there was no significant publication bias in our meta-analysis. We found that T2DM patients with HP infection had a 2.00 times higher risk of the occurrence of proteinuria than patients without HP infection (OR: 2.00, 95% CI: 1.48–2.69). Conclusions: Our analysis showed that HP infection was associated with the occurrence of proteinuria in T2DM patients. HP radical surgery might be a therapeutic option for protecting kidney function in patients with T2DM. Key words: Helicobacter pylori; Kidney; Meta-Analysis; Proteinuria; Type 2 Diabetes