Acute kidney injury (AKI) is an important clinical issue that is associated with significant morbidity and mortality. Despite research advances over the past decades, the complex pathophysiology of AKI is not fully understood. The regulatory mechanisms underlying post-AKI repair and fibrosis have not been clarified either. Furthermore, there is no definitively effective treatment for AKI. MicroRNAs (miRNAs) are endogenous single-stranded noncoding RNAs of 19~23 nucleotides that have been shown to be crucial to the post-transcriptional regulation of various cellular biological functions, including proliferation, differentiation, metabolism, and apoptosis. In addition to being fundamental to normal development and physiology, miRNAs also play important roles in various human diseases. In AKI, some miRNAs appear to act pathogenically by promoting inflammation, apoptosis, and fibrosis, while others may act protectively by exerting anti-inflammatory, anti-apoptotic, anti-fibrotic, and pro-angiogenic effects. Thus, miRNAs have not only emerged as novel biomarkers for AKI; they also hold promise to be potential therapeutic targets.

Background Cirrhotic patients admitted to intensive care units (ICUs) have high mortality rates. The Chronic Liver Failure–Sequential Organ Failure Assessment (CLIF‐SOFA) score, a modified Sequential Organ Failure Assessment (SOFA) score, is a newly developed scoring system exclusively for patients with end‐stage liver disease. Aim To externally validate the efficacy of the CLIF‐SOFA score and evaluate other scoring systems for 6‐month mortality in critically ill cirrhotic patients. Methods This study prospectively recorded and analysed the data for 30 demographical parameters and some clinical characteristic variables on day 1 of 250 cirrhotic patients admitted to a 10‐bed specialised hepatogastroenterology ICU in a 2000‐bed tertiary care referral hospital during the period from September 2010 to August 2013. Results The overall in‐hospital and 6‐month mortality rate were 58.8% (147/250) and 78.0% (195/250), respectively. Liver diseases were mostly attributed to hepatitis B virus infection (32%). Multiple Cox logistic regression hazard analysis revealed that Glasgow coma scale, both the CLIF‐SOFA and Acute Physiology and Chronic Health Evaluation III (ACPACHE III) scores determined on the first day of ICU admission were independent predictors of 6‐month mortality. Analysis of the area under the receiver operating characteristic curve revealed that the CLIF‐SOFA score had the best discriminatory power (0.900 ± 0.020). Moreover, the cumulative 6‐month survival rates differed significantly for patients with a CLIF‐SOFA score ≤11 and those with a CLIF‐SOFA score >11 on the ICU admission day. Conclusion Both CLIF‐SOFA and APACHE III scores are excellent prognosis evaluation tools for critically ill cirrhotic patients.

Liver transplantation can prolong survival and improve the quality of life of patients with end-stage liver disease. This study retrospectively reviewed the medical records of 149 patients who had received liver transplants in a tertiary care university hospital from January 2000 to December 2007. Demographic, clinical, and laboratory variables were recorded. Each patient was assessed by 4 scoring systems before transplantation and on postoperative days 1, 3, 7, and 14. The overall 1-year survival rate was 77.9%. The Sequential Organ Failure Assessment (SOFA) score had better discriminatory power than the Child-Pugh points, Model for End-Stage Liver Disease score, and RIFLE (risk of renal dysfunction, injury to the kidney, failure of the kidney, loss of kidney function, and end-stage kidney disease) criteria. Moreover, the SOFA score on day 7 post–liver transplant had the best Youden index and highest overall correctness of prediction for 3-month (0.86, 93%) and 1-year mortality (0.62, 81%). Cumulative survival rates at the 1-year follow-up after liver transplantation differed significantly (P < 0.001) between patients who had SOFA scores ≤ 7 on post–liver transplant day 7 and those who had SOFA scores > 7 on post–liver transplant day 7. In conclusion, of the 4 evaluated scoring systems, only the SOFA scores calculated before liver transplantation were statistically significant predictors of 3-month and 1-year posttransplant mortality. SOFA on post–liver transplant day 7 had the best discriminative power for predicting 3-month and 1-year mortality after liver transplantation.

Diabetic nephropathy (DN) is a common complication of diabetes mellitus (DM) that imposes an enormous burden on the healthcare system. Although some studies show that traditional Chinese medicine (TCM) treatments confer a protective effect on DN, the long-term impact remains unclear. This study aims to examine end-stage renal disease (ESRD) and mortality rates among TCM users with DN. A total of 125,490 patients with incident DN patients from 2004 to 2006 were identified from the National Health Insurance Research Database in Taiwan and followed until 2012. The landmark method was applied to avoid immortal time bias, and propensity score matching was used to select 1:1 baseline characteristics-matched cohort. The Kaplan–Meier method and competing-risk analysis were used to assess mortality and ESRD rates separately. Among all eligible subjects, about 60% of patients were classified as TCM users (65,812 TCM users and 41,482 nonusers). After 1:1 matching, the outcomes of 68,882 patients were analyzed. For the ESRD rate, the 8-year cumulative incidence was 14.5% for TCM users [95% confidence interval (CI): 13.9–15.0] and 16.6% for nonusers (95% CI: 16.0–17.2). For the mortality rate, the 8-year cumulative incidence was 33.8% for TCM users (95% CI: 33.1–34.6) and 49.2% for nonusers (95% CI: 48.5–49.9). After adjusting for confounding covariates, the cause-specific hazard ratio of ESRD was 0.81 (95% CI: 0.78–0.84), and the hazard ratio of mortality for TCM users was 0.48 (95% CI: 0.47–0.50). The cumulative incidence of mortality increased rapidly among TCM users with ESRD (56.8, 95% CI: 54.6–59.1) when compared with TCM users without ESRD (30.1, 95% CI: 29.4–30.9). In addition, TCM users who used TCM longer or initiated TCM treatments after being diagnosed with DN were associated with a lower risk of mortality. These results were consistent across sensitivity tests with different definitions of TCM users and inverse probability weighting of subjects. The lower ESRD and mortality rates among patients with incident DN correlates with the use of TCM treatments. Further studies about specific TCM modalities or medications for DN are still needed.

The relationship between change of gut microbiota and host serum metabolomics associated with low protein diet (LPD) has been unraveled incompletely in CKD patients. Fecal 16S rRNA gene sequencing and serum metabolomics profiling were performed. We reported significant changes in the β-diversity of gut microbiota in CKD patients having LPD (CKD-LPD, n = 16). We identified 19 genera and 12 species with significant differences in their relative abundance among CKD-LPD patients compared to patients receiving normal protein diet (CKD-NPD, n = 27) or non-CKD controls (n = 34), respectively. CKD-LPD had a significant decrease in the abundance of many butyrate-producing bacteria (family Lachnospiraceae and Bacteroidaceae) associated with enrichment of functional module of butanoate metabolism, leading to concomitant reduction in serum levels of SCFA (acetic, heptanoic and nonanoic acid). A secondary bile acid, glyco λ-muricholic acid, was significantly increased in CKD-LPD patients. Serum levels of indoxyl sulfate and p-cresyl sulfate did not differ among groups. The relationship between abundances of microbes and metabolites remained significant in subset of resampling subjects of comparable characteristics. Enrichment of bacterial gene markers related to D-alanine, ketone bodies and glutathione metabolism was noted in CKD-LPD patients. Our analyses reveal signatures and functions of gut microbiota to adapt dietary protein restriction in renal patients.