Neferine alleviates acute kidney injury by regulating the PPAR-α/NF-κB pathway.

Acute kidney injury (AKI) is a cluster of clinical syndromes with diverse etiologies that ultimately result in a swift decline in kidney function. Regrettably, AKI lacks effective therapeutic agents at present. Neferine, a bioactive alkaloid derived from Lotus Plumule, has been reported to alleviate AKI triggered by cisplatin, ischemia/reperfusion (I/R), and sepsis by inhibiting inflammatory pathways. However, the precise molecular mechanisms underpinning its renoprotective effects remain elusive. Peroxisome proliferator-activated receptor alpha (PPAR-α), a regulator of lipid metabolism with anti-inflammatory properties, was investigated in this study to examine its role in neferine's renoprotective effects in cellular and mouse models of AKI. We found that neferine pretreatment in both I/R- or lipopolysaccharide (LPS)-induced AKI models inhibited the activation of the NF-κB inflammatory pathway and reversed PPAR-α deficiency. In NRK-52E cells exposed to hypoxia/reoxygenation (H/R) or LPS, overexpression of PPAR-α resulted in inhibition of the NF-κB pathway and TNF-α production, while PPAR-α silencing via siRNA transfection negated neferine's anti-inflammatory effects. Furthermore, pretreatment with neferine not only reduced lipid accumulation but also reversed the downregulation of FAO-related enzymes induced by LPS. Our findings suggest that neferine's renoprotective effects against AKI are partially mediated through the reversal of renal PPAR-α deficiency and subsequent inhibition of the inflammatory NF-κB pathway. Therefore, regulating renal PPAR-α expression by neferine could represent a promising therapeutic strategy for AKI.

Synthesis of the Ag2S/PANI@PES Composite Membrane and Its Antipollution Properties.

Membrane separation technology offers a sustainable and efficient solution to wastewater management; however, membrane fouling significantly impedes its application. Photocatalytic membranes, integrating photocatalytic and membrane separation technologies, enhance membrane separation efficacy while effectively mitigating organic and biological contaminations. In this work, Ag2S/PANI@PES composite membranes were prepared via a facile in situ polymerization and successive layer adsorption technique. The modified poly(ether sulfone) (PES) membrane demonstrated improved hydrophilicity and separation performance, and its heterostructure between polyaniline (PANI), Ag0, and Ag2S effectively addressed organic fouling issues. Moreover, Ag2S/PANI@PES exhibited outstanding antimicrobial properties, as well as chemical and mechanical stability.

Predictive model for identifying mild cognitive impairment in patients with type 2 diabetes mellitus: A CHAID decision tree analysis.

BACKGROUND: As the population ages, mild cognitive impairment (MCI) and type 2 diabetes mellitus (T2DM) become common conditions that often coexist. Evidence has shown that MCI could lead to reduced treatment compliance, medication management, and self-care ability in T2DM patients. Therefore, early identification of those with increased risk of MCI is crucial from a preventive perspective. Given the growing utilization of decision trees in prediction of health-related outcomes, this study aimed to identify MCI in T2DM patients using the decision tree approach. METHODS: This hospital-based case-control study was performed in the Endocrinology Department of Xiangya Hospital affiliated to Central South University between March 2021 and December 2022. MCI was defined based on the Petersen criteria. Demographic characteristics, lifestyle factors, and T2DM-related information were collected. The study sample was randomly divided into the training and validation sets in a 7:3 ratio. Univariate and multivariate analyses were performed, and a decision tree model was established using the chi-square automatic interaction detection (CHAID) algorithm to identify key predictor variables associated with MCI. The area under the curve (AUC) value was used to evaluate the performance of the established decision tree model, and the performance of multivariate regression model was also evaluated for comparison. RESULTS: A total of 1001 participants (705 in the training set and 296 in the validation set) were included in this study. The mean age of participants in the training and validation sets was 60.2  ±  10.3 and 60.4  ±  9.5 years, respectively. There were no significant differences in the characteristics between the training and validation sets (p > .05). The CHAID decision tree analysis identified six key predictor variables associated with MCI, including age, educational level, household income, regular physical activity, diabetic nephropathy, and diabetic retinopathy. The established decision tree model had 15 nodes composed of 4 layers, and age is the most significant predictor variable. It performed well (AUC = .75 [95% confidence interval (CI): .71-.78] and .67 [95% CI: .61-.74] in the training and validation sets, respectively), was internally validated, and had comparable predictive value compared to the multivariate logistic regression model (AUC = .76 [95% CI: .72-.80] and .69 [95% CI: .62-.75] in the training and validation sets, respectively). CONCLUSION: The established decision tree model based on age, educational level, household income, regular physical activity, diabetic nephropathy, and diabetic retinopathy performed well with comparable predictive value compared to the multivariate logistic regression model and was internally validated. Due to its superior classification accuracy and simple presentation as well as interpretation of collected data, the decision tree model is more recommended for the prediction of MCI in T2DM patients in clinical practice.

Sleep quality and its associated factors among patients with type 2 diabetes mellitus in Hunan, China: a cross-sectional study.

OBJECTIVES: Type 2 diabetes mellitus (T2DM) is a serious public health issue. Compared with the general population, patients with T2DM have a higher risk of poor sleep quality, which could ultimately result in poor prognosis. Therefore, this study aimed to evaluate sleep quality and its associated factors among patients with T2DM in Hunan, China. DESIGN: This was a cross-sectional study. SETTING: A tertiary hospital in Hunan, China. PARTICIPANTS: Patients with T2DM hospitalised at the Endocrinology Department were consecutively enrolled between March 2021 and December 2022. Sociodemographic characteristics, lifestyle factors and T2DM-related information were collected retrospectively. PRIMARY AND SECONDARY OUTCOME MEASURES: Sleep quality was evaluated using the Pittsburgh Sleep Quality Index, with a cut-off value of >7 suggesting poor sleep quality. Multivariate logistic regression analysis was used to determine factors associated with poor sleep quality. RESULTS: Of the 1039 participants included, 1001 provided complete data. The mean age of the study sample was 60.24±10.09 years, and 40.5% (95% CI 37.5% to 43.5%) of patients had poor sleep quality. Multivariate logistic regression analysis showed that female sex (adjusted OR (aOR) 1.70, 95% CI 1.25 to 2.29), unmarried status (aOR 1.72, 95% CI 1.05 to 2.83), diabetic retinopathy (aOR 1.38, 95% CI 1.04 to 1.83), diabetic foot (aOR 1.80, 95% CI 1.11 to 2.93) and a per capita monthly household income of >5000 RMB (aOR 0.66, 95% CI 0.47 to 0.93) were associated with poor sleep quality. CONCLUSIONS: Nearly two-fifths of patients with T2DM reported poor sleep quality in Hunan, China. Sex, marital status, diabetic retinopathy, diabetic foot and household income were independently associated with sleep quality among patients with T2DM in Hunan, China.

Relationship between dietary macronutrients intake and biological aging: a cross-sectional analysis of NHANES data.

PURPOSE: This study aimed to investigate the association between macronutrient intake and biological age. METHODS: Data were collected from 26,381 adults who participated in the United States National Health and Nutrition Examination Survey (NHANES). Two biological ages were estimated using the Klemera-Doubal method (KDM) and PhenoAge algorithms. Biological age acceleration (AA) was computed as the difference between biological age and chronological age. The associations between macronutrient intakes and AA were investigated. RESULTS: After fully adjusting for confounding factors, negative associations were observed between AA and fiber intake (KDM-AA: ß - 0.53, 95% CI - 0.62, - 0.43, P < 0.05; PhenoAge acceleration: ß - 0.30, 95% CI - 0.35, - 0.25, P < 0.05). High-quality carbohydrate intake was associated with decreased AA (KDM-AA: ß - 0.57, 95% CI - 0.67, - 0.47, P < 0.05; PhenoAge acceleration: ß - 0.32, 95% CI - 0.37, - 0.26, P < 0.05), while low-quality carbohydrate was associated with increased AA (KDM-AA: ß 0.30, 95% CI 0.21, 0.38, P < 0.05; PhenoAge acceleration: ß 0.16, 95% CI 0.11, 0.21, P < 0.05). Plant protein was associated with decreased AA (KDM-AA: ß - 0.39, 95% CI - 0.51, - 0.27, P < 0.05; PhenoAge acceleration: ß - 0.21, 95% CI - 0.26, - 0.15, P < 0.05). Long-chain SFA intake increased AA (KDM-AA: ß 0.16, 95% CI 0.08, 0.24, P < 0.05; PhenoAge acceleration: ß 0.11, 95% CI 0.07, 0.15, P < 0.05). ω-3 PUFA was associated with decreased KDM-AA (ß - 0.18, 95% CI - 0.27, - 0.08, P < 0.05) and PhenoAge acceleration (ß - 0.09, 95% CI - 0.13, - 0.04, P < 0.05). CONCLUSION: Our findings suggest that dietary fiber, high-quality carbohydrate, plant protein, and ω-3 PUFA intake may have a protective effect against AA, while low-quality carbohydrate and long-chain SFA intake may increase AA. Therefore, dietary interventions aimed at modifying macronutrient intakes may be useful in preventing or delaying age-related disease and improving overall health.

Prevalence of Anxiety and Associated Factors Among Inpatients with Type 2 Diabetes Mellitus in China: A Cross-Sectional Study.

This study aimed to investigate the prevalence of anxiety and its associated factors among inpatients with type 2 diabetes mellitus (T2DM) in China. This study was a cross-sectional study. Inpatients with T2DM admitted to the Endocrinology Department of Xiangya Hospital, Central South University in Hunan Province of China from March 2021 to December 2021 were consecutively included in this study. Participants were interviewed to obtain the data on socio-demographic characteristics, lifestyle characteristics, T2DM-related information, and social support. Anxiety was measured using the Hospital Anxiety and Depression Scale-anxiety subscale by experienced physicians. Multivariable logistic regression analysis was used to estimate the independent contribution of each independent variable to anxiety. A total of 496 inpatients with T2DM were included in this study. The prevalence of anxiety was 21.8% (95% confidence interval [CI]: 18.1%-25.4%). The results of multivariable logistic regression analysis indicated that age of at least 60 (adjusted odd ratio [aOR] = 1.79, 95% CI: 1.04-3.08), and having diabetes specific complications (aOR = 4.78, 95% CI: 1.02-22.44) were risk factors for anxiety, and an educational level of high school or above (aOR = 0.55, 95% CI: 0.31-0.99), regular physical activity (aOR = 0.36, 95% CI: 0.22-0.58), and high social support (aOR = 0.30, 95% CI: 0.17-0.53) were protective factors for anxiety. A predictive model based on these five variables showed good performance (area under the curve = 0.80). Almost one in five inpatients with T2DM suffered from anxiety in China. Age, educational level, regular physical activity, diabetes specific complications, and social support were independently associated with anxiety.

The use of nomogram for detecting mild cognitive impairment in patients with type 2 diabetes mellitus.

BACKGROUND: Type 2 diabetes mellitus (T2DM) is highly prevalent worldwide and may lead to a higher rate of cognitive dysfunction. This study aimed to develop and validate a nomogram-based model to detect mild cognitive impairment (MCI) in T2DM patients. METHODS: Inpatients with T2DM in the endocrinology department of Xiangya Hospital were consecutively enrolled between March and December 2021. Well-qualified investigators conducted face-to-face interviews with participants to retrospectively collect sociodemographic characteristics, lifestyle factors, T2DM-related information, and history of depression and anxiety. Cognitive function was assessed using the Mini-Mental State Examination scale. A nomogram was developed to detect MCI based on the results of the multivariable logistic regression analysis. Calibration, discrimination, and clinical utility of the nomogram were subsequently evaluated by calibration plot, receiver operating characteristic curve, and decision curve analysis, respectively. RESULTS: A total of 496 patients were included in this study. The prevalence of MCI in T2DM patients was 34.1% (95% confidence interval [CI]: 29.9%-38.3%). Age, marital status, household income, diabetes duration, diabetic retinopathy, anxiety, and depression were independently associated with MCI. Nomogram based on these factors had an area under the curve of 0.849 (95% CI: 0.815-0.883), and the threshold probability ranged from 35.0% to 85.0%. CONCLUSIONS: Almost one in three T2DM patients suffered from MCI. The nomogram, based on age, marital status, household income, duration of diabetes, diabetic retinopathy, anxiety, and depression, achieved an optimal diagnosis of MCI. Therefore, it could provide a clinical basis for detecting MCI in T2DM patients.

Prevalence of comorbid depression and associated factors among hospitalized patients with type 2 diabetes mellitus in Hunan, China.

BACKGROUND: Depression and diabetes are major health challenges, with heavy economic social burden, and comorbid depression in diabetes could lead to a wide range of poor health outcomes. Although many descriptive studies have highlighted the prevalence of comorbid depression and its associated factors, the situation in Hunan, China, remains unclear. Therefore, this study aimed to identify the prevalence of comorbid depression and associated factors among hospitalized type 2 diabetes mellitus (T2DM) patients in Hunan, China. METHODS: This cross-sectional study involved 496 patients with T2DM who were referred to the endocrinology inpatient department of Xiangya Hospital affiliated to Central South University, Hunan. Participants' data on socio-demographic status, lifestyle factors, T2DM-related characteristics, and social support were collected. Depression was evaluated using the Hospital Anxiety and Depression Scale-depression subscale. All statistical analyses were conducted using the R software version 4.2.1. RESULTS: The prevalence of comorbid depression among hospitalized T2DM patients in Hunan was 27.22% (95% Confidence Interval [CI]: 23.3-31.1%). Individuals with depression differed significantly from those without depression in age, educational level, per capita monthly household income, current work status, current smoking status, current drinking status, regular physical activity, duration of diabetes, hypertension, chronic kidney disease, stroke, fatty liver, diabetic nephropathy, diabetic retinopathy, insulin use, HbA1c, and social support. A multivariable logistic regression model showed that insulin users (adjusted OR = 1.86, 95% CI: 1.02-3.42) had a higher risk of depression, while those with regular physical activity (adjusted OR = 0.48, 95% CI: 0.30-0.77) or greater social support (adjusted OR = 0.20, 95% CI: 0.11-0.34) had a lower risk of depression. The area under the curve of the receiver operator characteristic based on this model was 0.741 with a sensitivity of 0.785 and specificity of 0.615. CONCLUSIONS: Depression was moderately prevalent among hospitalized T2DM patients in Hunan, China. Insulin treatment strategies, regular physical activity, and social support were significantly independently associated with depression, and the multivariable model based on these three factors demonstrated good predictivity, which could be applied in clinical practice.

The effects of angiotensin-converting enzyme inhibitors and angiotensin II receptor blockers in critically ill patients with acute kidney injury: An observational study using the MIMIC database.

Background: The safety of prescribing angiotensin-converting enzyme inhibitors (ACEIs) and angiotensin receptor blockers (ARBs) during acute kidney injury (AKI) remains unclear. We aimed to investigate the associations of ACEI/ARB therapy in AKI with the risk of mortality, acute kidney disease (AKD), and hyperkalemia. Methods: We conducted a retrospective monocentric study, which included patients in Massachusetts between 2008 and 2019 from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Propensity score matching was performed for the endpoint analysis. The association between ACEI/ARB therapy and mortality was assessed using Cox proportional hazards regression models. Logistic regression was used to assess the risk of AKD and hyperkalemia. Results: Among the 19,074 individuals with AKI admitted to the intensive care unit (ICU), 3,244 (17.0%) received ACEI/ARBs, while 15,830 (83.0%) did not. In the propensity score-matched sample of 6,358 individuals, we found a decreased risk of mortality in those who received ACEI/ARBs compared to those who did not (hazard ratio [HR] for ICU mortality: 0.34, 95% confidence interval [CI]: 0.27-0.42); HR for in-hospital mortality: 0.47, 95% CI: 0.39-0.56; HR for 30-day mortality: 0.47, 95% CI: 0.40-0.56; HR for 180-day mortality: 0.53, 95% CI: 0.45-0.62). However, the use of ACEI/ARBs was associated with a higher risk of AKD (risk ratio [RR]: 1.81; 95% CI: 1.55-2.12). There was no significant association between ACEI/ARBs and an increased risk of hyperkalemia (RR: 1.21; 95% CI: 0.96-1.51). Conclusions: ACEI/ARB treatment during an episode of AKI may decrease all-cause mortality, but increases the risk of AKD. Future randomized controlled trials are warranted to validate these findings.

Association between serum chloride levels with mortality in critically ill patients with acute kidney injury: An observational multicenter study employing the eICU database.

OBJECTIVE: The effect of the serum chloride (Cl) level on mortality in critically ill patients with acute kidney injury (AKI) remains unknown. We sought an association between mortality and serum Cl. METHODS: We identified AKI patients in the eICU Collaborative Research Database from 2014 to 2015 at 208 US hospitals. The outcomes included in-hospital and intensive care unit (ICU) mortality. Time-varying covariates Cox regression models and the Kaplan-Meier (K-M) curves were used to assess the association between serum Cl levels and mortality. Multivariable adjusted restricted cubic spline models were used to analyze the potential nonlinear relationship between mortality and serum Cl. RESULTS: In total, 4,234 AKI patients were included in the study. Compared with normochloremia (98≤chloride<108mEq/L), hypochloremia (Cl<98mEq/L) was associated with mortality (adjusted hazard ratio [HR] for in-hospital mortality 1.46, 95% confidence interval [CI] 1.20-1.80, P = 0.0003; adjusted HR for ICU mortality 1.37, 95% CI 1.05-1.80, P = 0.0187). Hyperchloremia showed no significant difference in mortality compared to normochloremia (adjusted HR for in-hospital mortality 0.89, 95% CI 0.76-1.04, P = 0.1438; adjusted HR for ICU mortality 0.87, 95% CI 0.72-1.06, P = 0.1712). Smoothing curves revealed continuous non-linear associations between serum Cl levels and mortality. The K-M curve showed that patients with hypochloremia presented with a lower survival rate. CONCLUSIONS: Lower serum Cl levels after ICU admission was associated with increased in-hospital and ICU mortality in critically ill patients with AKI. The results should be verified in well-designed prospective studies.

Prevalence of Moderate to Severe Anxiety Symptoms among Patients with Myocardial Infarction: a Meta-Analysis.

This study attempted to synthesize the evidence on the prevalence of moderate to severe anxiety symptoms among myocardial infarction (MI) patients to offer a reliable and accurate estimate on the number of MI patients suffering from moderate to severe anxiety symptoms. Comprehensive electronic searches (PubMed, Embase and Web of Science) were performed from their inception to February 2021. Between-study heterogeneity was analyzed using the Cochran's Q test and [Formula: see text] statistic, and if it was high across the eligible studies, meta-regression and subgroup analyses were conducted to examine the source of heterogeneity. Publication bias and the robustness of the pooled results were also examined. A total of 18 eligible studies covering 8,532 MI patients were included, of which 3,443 were identified with moderate to severe anxiety symptoms. Between-study heterogeneity was high ([Formula: see text]=98.8%) with the reported prevalence ranging from 9.6% to 69.17%, and the pooled prevalence was 38.08% (95% confidence interval: 28.82-47.81%) by a random-effects model. Meta-regression analyses indicated that publication year (ß = -0.014) was significant moderators contributing 16.11% to the heterogeneity. Subgroup analyses indicated that studies using the anxiety subscale of Brief Symptom Inventory to assess anxiety were homogenous ([Formula: see text]=0.0). Furthermore, the pooled prevalence of moderate to severe anxiety symptoms varied significantly by geographic region, instrument used to assess anxiety, methodological quality, sex, education level, a history of previous MI and hypercholesterolemia. Additionally, the results of Egger's linear test (t = -0.630) and Begg's rank test (z = -0.190) indicated no evidence of publication bias, and the sensitivity of the pooled results was low. Nearly two fifth of MI patients suffered from moderate to severe anxiety symptoms, which emphasizes the importance of early identification of anxiety symptoms after MI, as well as the need of implementing psychological interventions for those with elevated anxiety symptoms.

The Lactate/Albumin Ratio Predicts Mortality in Critically Ill Patients with Acute Kidney Injury: An Observational Multicenter Study on the eICU Database.

OBJECTIVE: The serum lactate/albumin ratio (LAR) can be used to independently predict mortality due to sepsis. However, whether the LAR predicts the outcomes of critically ill patients with acute kidney injury (AKI) remains unclear. This study was performed to assess the prognostic value of the LAR in critically ill AKI patients. METHODS: This retrospective observational study enrolled AKI patients, and all data were collected through the eICU Collaborative Research Database. Outcomes included in-hospital and intensive care unit (ICU) death. Multivariate Cox regression analysis was used to determine independent risk factors. Forest plots and smoothing curves were generated. A series of subgroup analyses were performed to further validate the robustness of the findings. RESULTS: A total of 4666 eligible patients were enrolled. We divided the participants into four groups according to the LAR: quartile (Q)1 (LAR < 0.46, n = 1167), Q2 (0.46 ≤ LAR < 0.79, n = 1162), Q3 (0.79 ≤ LAR < 1.49, n = 1170), and Q4 (LAR ≥ 1.49, n = 1167). The LAR, when analyzed as a continuous variable, was associated with hospital and ICU mortality (adjusted hazard ratio [HR] 1.22, 95% confidence interval [CI] 1.18-1.26, P < 0.0001 for both). The risk of in-hospital and ICU mortality increased with increasing LAR Q relative to Q1. The smoothing curves revealed a continuous linear association after adjusting for all covariates. By the Kaplan-Meier analysis, patients in the higher LAR group showed significantly shorter survival time. By the receiver operating characteristic analysis, LAR was efficient in predicting in-hospital mortality (area under the curve [AUC]: 0.717) and ICU mortality (AUC: 0.733). A positive and consistent effect of the LAR was seen in all subgroups analyses after adjusting for all covariates. CONCLUSION: A high LAR is an independent risk factor for in-hospital and ICU mortality in critically ill patients with AKI. Further prospective studies are needed to validate these result.

A meta-analysis of the clinical efficacy and safety of Bailing capsules in the treatment of nephrotic syndrome.

BACKGROUND: Nephrotic syndrome (NS) is extremely harmful to human health. Bailing capsules can reduce proteinuria and improve renal function in patients with NS. This meta-analysis aimed to evaluate the clinical efficacy and safety of Bailing capsules in the treatment of NS. METHODS: Systematic searches of the English-language databases PubMed, Cochrane, Embase, Medline, and Web of Science, as well as the Chinese-language databases China Academic Journals Full-text Database (CJFD), Wanfang Data, and Weipu (VIP), were performed. Randomized controlled trials (RCTs) of Bailing capsules in the treatment of NS were included in the meta-analysis. The total effective rate and adverse reaction rate were evaluated with relative risk (RR) and the quantitative data was evaluated with standardized mean difference (SMD) and 95% confidence interval (CI). The quality of the included articles was evaluated using RevMan5.3 software, and the "meta" package of R3.5.1 software was used for all other statistical analysis. RESULTS: A total of 20 papers involving 819 and 824 patients in the treatment group and the control group, respectively, were included. The total effective rate and adverse reaction rate after treatment were reported in 17 and 2 articles, respectively. The total effective rate of the treatment group was 1.22 times that of the control group (I2 =0%, fixed-effects model, 95% CI: 1.16, 1.27), and the adverse reaction rate of the treatment group was 0.22 times that of the control group (I2 =0%, fixed-effects model, 95% CI: 0.08, 0.63). The levels of blood urea nitrogen (BUN) and serum creatinine (SCr) before and after treatment were reported in 15 articles, with SMDs of -0.98 (I2 =50%, fixed-effects model, 95% CI: -1.10, -0.87) and -1.47 (I2 =96%, random-effects model, 95% CI: -2.08, -0.86), respectively. Meanwhile, 13 articles reported the level of 24-hour proteinuria before and after treatment, with an SMD of -1.25 (I2 =92%, fixed effects model, 95% CI: -1.73, -0.78). CONCLUSIONS: For NS patients, treatment with Bailing capsules can achieve higher clinical efficacy and a lower adverse reaction rate than conventional treatment in improving the function of kidney.

Effect of hypertension on prognosis in patients with pregnancy-related acute kidney injury: A retrospective, propensity score-matched cohort study. / åŸºäºŽå€¾å‘è¯„åˆ†åŒ¹é æ³•çš„é«˜è¡€åŽ‹å¯¹å¦Šå¨ ç›¸å ³æ€§æ€¥æ€§è‚¾æŸä¼¤é¢„åŽå½±å“çš„å›žé¡¾æ€§é˜Ÿåˆ—ç ”ç©¶.

OBJECTIVES: Hypertension is a serious complication of pregnancy-related acute kidney injury (PR-AKI). This study aimed to determine the effect of hypertension on the prognosis of PR-AKI, maternal outcomes, and fetal outcome. METHODS: Patients with PR-AKI in a hospital from January 2008 to June 2018 were enrolled for this study. Patients with or without hypertension were grouped by 1꞉1 propensity matching score. The effect of hypertension on the prognosis of PR-AKI was evaluated by multivariate Cox regression before and after matching. RESULTS: Of the 30 680 women who attended the Department of Obstetrics, 126 patients were diagnosed as PR-AKI, the incidence was 0.41%. The age was (29.04±2.32) years. There were 50 cases in the hypertension group, accounting for 39.68%. Using the propensity score method, 48 pairs of patients were successfully matched, and the covariates between the two groups were balanced. After matching and adjusting for relevant clinical factors, Cox regression analysis showed that risk of end-stage renal disease (ESRD) was increased in the hypertension group compared with the normal blood pressure group (HR=2.951, 95％ CI 1.067 to 8.275, P=0.034). The risk of risk of adverse maternal outcome was increased (HR=2.815, 95% CI 1.271 to 6.233, P=0.009), and the risk of fetal adverse outcome was increased (HR=1.437, 95% CI 1.028 to 4.623, P=0.021). CONCLUSIONS: Hypertension is an independent risk factor for ESRD, adverse maternal outcomes, and adverse fetal outcomes in the PR-AKI patients.

Blood Pressure Variability and Outcomes in End-Stage Renal Disease Patients on Dialysis: A Systematic Review and Meta-Analysis.

OBJECTIVE: Previous studies have suggested that blood pressure variability (BPV) is associated with an increased risk of mortality and cardiovascular events in patients on dialysis. However, the results are inconsistent. A comprehensive literature review was conducted to analyze the association between BPV and outcomes in patients on dialysis. METHODS: Articles in Embase, Medline, and Web of Science from the date of inception through January 1, 2020, were identified. The outcomes were all-cause and cardiovascular mortality and cardiovascular events. The risk of bias was assessed using the Newcastle-Ottawa scale tool. Random effects models were used to pool the overall effect sizes. Two reviewers extracted the data independently. Meta-regression and subgroup analyses were performed to explore potential heterogeneity. RESULTS: Fifteen eligible studies were included, and all enrolled hemodialysis recipients only. The overall risk of bias for the included studies was low. A 1-SD increase in systolic BPV was associated with higher risks of all-cause mortality (HR = 1.18; 95% CI 1.11-1.26, I2 = 53.8%), cardiovascular mortality (HR = 1.23; 95% CI 1.10-1.37, I2 = 57.2%), and cardiovascular events (HR = 1.27; 95% CI 1.07-1.51, I2 = 69.3%). Likewise, a 1-SD increase in diastolic BPV was associated with higher HR for all-cause and cardiovascular mortality (HR = 1.14; 95% CI 1.05-1.23, I2 = 0.0%, and HR = 1.14; 95% CI 0.94-1.38, I2 = 0.0%, respectively). CONCLUSIONS: A greater BPV is associated with higher risks of cardiovascular and mortality outcomes in patients on hemodialysis. Further research is required to determine whether BPV may be useful either as a marker enabling individualized treatment of cardiovascular risk or as a treatment target in its own right.

Visit-to-visit blood pressure variability and risk of chronic kidney disease: A systematic review and meta-analyses.

OBJECTIVE: Previous studies have shown that visit-to-visit blood pressure variability (BPV) is associated with chronic kidney disease (CKD). However, the results have not been consistent among studies. This systematic review and meta-analysis was conducted to comprehensively assess the association between visit-to-visit BPV and the risk of CKD. METHODS: Medline, Embase, and the Cochrane Library were searched from the date of inception through 1 August 2019 using the terms "blood pressure variability," "chronic kidney disease," "nephropathy," and other comparable terms. The primary outcome was the development of CKD. Two reviewers extracted the data independently. Meta-analysis was performed using a random effects model. RESULTS: Fourteen studies were included in the systematic review and meta-analysis. The risk of CKD was significantly greater in patients with high baseline systolic blood pressure variability (SBPV) than in patients with low baseline SBPV: the standard deviation (SD) showed relative risk (RR) of 1.69 and 95% CI of 1.38-2.08, the coefficient of variation (CV) showed RR of 1.23 and 95% CI of 1.12-1.36, and variance independent of mean (VIM) showed RR of 1.40 and 95% CI of 1.15-1.71. RRs for each unit increase in visit-to-visit SBPV and risk of CKD were 1.05 (95% CI: 1.03-1.07) for SD, 1.06 (95% CI: 1.03-1.09) for CV, and 1.1 (95% CI: 0.96-1.25) for VIM. Diastolic BPV was similarly predictive of CKD based on SD and CV. CONCLUSIONS: Increased visit-to-visit BPV might be an independent risk factor for CKD. However, significant heterogeneity was present; thus, future prospective studies are needed to confirm our findings. Our results indicate that treatment of hypertension should control blood pressure levels and prevent abnormal fluctuations in blood pressure to reduce the risk of CKD.

Neferine Attenuates Acute Kidney Injury by Inhibiting NF-κB Signaling and Upregulating Klotho Expression.

Purpose: Morbidity associated with and mortality from acute kidney injury (AKI) is gradually increasing, and no efficient drug is available. We explored whether neferine, a bisbenzylisoquinoline alkaloid, attenuated AKI, and the possible mechanisms in play in vivo and in vitro. Methods: We induced AKI using ischemia-reperfusion (I/R) or lipopolysaccharide (LPS) in vivo. C57 BL/6 male mice were randomized into two groups each containing four subgroups: control, neferine, I/R or LPS, and I/R or LPS + neferine. Mice were sacrificed 24 h after AKI induction and kidneys and sera were collected. NRK-52E cells were exposed to hypoxia/reoxygenation (H/R) or LPS in vitro. Results: Neferine pretreatment significantly alleviated kidney functional loss and pathological damage. In the AKI mouse models induced by I/R or LPS, neferine inhibited the infiltration of inflammatory cells, including granulocytes and macrophages. Both in vivo and in vitro, neferine attenuated apoptosis, suppressed inflammatory cytokine production, decreased degradation of IκB-α, and inhibited nuclear translocation of NF-κB. Furthermore, it also upregulated Klotho expression in AKI. Conclusion: Neferine mitigated renal injury in AKI models, perhaps by suppressing the activation of NF-κB and upregulating the expression of Klotho.

Comparison of peritoneal dialysis with hemodialysis on survival of diabetic patients with end-stage kidney disease: a meta-analysis of cohort studies.

Aim: Renal replacement therapy was primary treatment for end stage kidney (ESRD) patients. Numbers of studies comparing peritoneal dialysis (PD) and hemodialysis (HD) yielded inconsistent results. The aim of this study was to assess the mortality risk between diabetic PD patients and those in HD. Methods: We included cohort studies comparing the risk of death among diabetic ESRD patients who receiving peritoneal dialysis or hemodialysis by searching Medline and Embase. Overall estimates were calculated using the random-effects model. Results: Seventeen studies were included in the meta-analyses. Mortality comparison between PD and HD in the diabetic ESRD patients showed PD significantly increased mortality rate (hazard ratio (HR) 1.20; 95% confidence interval (CI) 1.10-1.30; I2 = 89.1%). The overall HR using an intention-to-treat analysis was 1.23 with 95% CI (1.13 to 1.34). Meta-regression demonstrated PD patients from Asian country were associated with increase in mortality risk (coefficient = 0.270, SE = 0.112, p = .033). Limitation: The high heterogeneity in our meta-analyses undermined the robustness of the findings. Conclusion: ESRD patients with diabetes may benefit more from HD than PD.

Neferine reduces cisplatin-induced nephrotoxicity by enhancing autophagy via the AMPK/mTOR signaling pathway.

Cisplatin is one of the most effective chemotherapeutic agents; however, its clinical use is limited by serious side effects of which nephrotoxicity is the most important. Nephrotoxicity induced by cisplatin is closely associated with autophagy reduction and caspase activation. In this study, we investigated whether neferine, an autophagy inducer, had a protective effect against cisplatin-induced nephrotoxicity. In an in vitro cisplatin-induced nephrotoxicity model, we determined that neferine was able to induce autophagy and that pretreatment with neferine not only attenuated cisplatin-induced cell apoptosis but further activated cell autophagy. This pro-survival effect was abolished by the autophagic flux inhibitor chloroquine. Furthermore, neferine pretreatment activated the AMPK/mTOR pathway; however, pharmacological inhibition of AMPK abolished neferine-mediated autophagy and nephroprotection against cisplatin-induced apoptosis. Collectively, our findings suggest for the first time the possible protective mechanism of neferine, which is crucial for its further development as a potential therapeutic agent for cisplatin-induced nephrotoxicity.