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Objective The aim of our study was to examine how serial urine neutrophil gelatinase-associated lipocalin (uNGAL) and interleukin (IL)-18 concentrations change over time after kidney transplantation and whether we can use them to predict delayed graft function (DGF). Methods Spot urine samples for the NGAL and IL-18 tests were taken at 4, 12, 24, 48, and 72 hours after transplantation from every patient at hospital presentation. Urine samples were tested for NGAL by a chemiluminescence assay kit on the ARCHITECT I2000 immunology analyzer. IL-18 were measured by a quantitative immunoenzymatic assay kit. Serum samples for the creatinine measurement were taken at 24, 48, and 72 hours after kidney transplantation. Serum samples were tested for creatinine on the Olympus analyzer 5821 by alkaline picric acid method. The patients were divided into 2 groups: DGF group and non-DGF group. Results The urine NGAL levels were increased in DGF group at all points over the follow-up period. There are differences ( P < .05) in NGAL concentrations between DGF (n = 21) and non-DGF groups (n = 102). However, urine samples from the DGF group (n = 21) had increased IL-18 concentrations at 4, 12, 24, and 48 hours postoperatively compared with non-DGF group samples (n = 102) ( P < .05). There were obvious distinctions ( P < .05) of serum creatinine (SCr) levels in 24 hours between the DGF (n = 21) and non-DGF groups (n = 102). The specificity and positive predictive value of NGAL in the DGF diagnosis increased with time, but the sensitivity and negative predictive value do not change. The specificity, sensitivity, positive predictive, value and negative predictive value of IL-18 in the DGF diagnosis changed irregularly at multiple time points after transplant. The positive predictive value and negative predictive value of 24-hour SCr were 47.4% and 95.7%, respectively. The positive predictive value and negative predictive value of combination of NGAL, IL-18, and SCr (area under the receiver–operating characteristic curve = 0.984; 95% CI, 0.887–0.994) were 90.9% and 100%, respectively. Overall, the combination of NGAL, IL-18, and SCr was found to have a significantly better positive predictive value than all the other combination assays ( P < .05). In addition, there were obvious distinction of the negative predictive value of NGAL and IL-18 combination compared with those of other combinations ( P < .05). Conclusions The combination of NGAL, IL-18, and SCr measurements after initiation of treatment may be highly effective for risk stratification in patients with DGF. The combination may be useful to cover the complete diagnostic window of patients presenting with DGF. [ABSTRACT FROM AUTHOR]

Nutrients in animal manure are valuable inputs in agronomic crop production. Timely and reliable information on animal manure nutrient content will facilitate the utilization of manure as organic fertilizer and reduce any associated potential environmental problems. The objective of this study was to investigate the feasibility of using multiple linear regression (MLR), polynomial regression, and artificial neural network (ANN) models to determine nutrient content in dairy manure. Fresh manure samples (n = 86) from Holstein dairy cattle were collected from 34 dairy farms located in Beijing city, China. All samples were analyzed for nutrient content (ammonium nitrogen, total potassium, total nitrogen, and total phosphorus) by standard laboratory methods. The physicochemical properties (specific gravity, electrical conductivity, and pH) of dairy manure samples were measured. Relationships between nutrient content and physicochemical properties were explored by MLR, polynomial regression, and ANN models. Several parameters (R², modeling efficiency statistic, mean squared error of prediction, mean bias, linear bias, and maximum bias) were calculated to evaluate model performance. The residual analysis results indicated that all MLR models for the testing data set had significant mean and linear bias. When compared with MLR and polynomial regression models, the ANN model for all nutrient contents had better performance with higher R² and modeling efficiency statistics and lower mean squared error of prediction, mean bias, linear bias, and maximum bias. These findings demonstrated that the ANN model may be an appropriate tool to predict dairy manure nutrient content. [ABSTRACT FROM AUTHOR]

Studies have demonstrated that obesity and osteoporosis are linked disorders in humans. This study examined the hypothesis that excessive lipid consumption affects bone metabolism in laying hens. A total of one hundred 63-wk-old laying hens were randomly divided into 2 treatments and fed either a regular layer diet (control) or a high energy and low protein diet (HE-LP; experimental treatment) for 80 d. Egg production, feed intake, and BW were recorded at various days during the treatment. At d 80, ten randomly chosen birds per treatment group were killed. Abdominal fat weight, liver weight, and liver fat content were determined. Serum levels of total calcium, inorganic phosphate, and alkaline phosphatase were measured using a biochemical analyzer. Serum concentrations of osteocalcin, leptin-like protein, and estrogen were measured by enzyme-linked immunosorbent assay. Tibia length and width were measured using a vernier caliper; density of the right tibias was determined using an x-ray scanner; and mechanical properties of the left tibias were analyzed using a material testing machine. The expression of osteocalcin and osteoprotegerin mRNA in the keel bone was analyzed by real-time PCR. The concentration of osteocalcin protein in the keels was measured using western blot. Compared with control hens, hens fed the HE-LP diet had lower egg production, lower feed intake, greater liver fat content, and greater abdominal fat pad mass (P < 0.05). Feeding the HE-LP diet increased serum alkaline phosphatase activity, osteocalcin, leptin-like protein, and estrogen concentrations (P < 0.05), and decreased the keel osteocalcin concentrations (P < 0.05). There were significant positive correlations between the serum concentrations of leptin-like protein, estrogen, and osteocalcin regardless of treatment (P < 0.05). The results indicated that HE-LP diet induced a fatty liver disorder in laying hens with an upregulation in bone turnover and exacerbated skeletal damage. The data supported a role for lipid metabolism in skeletal heath of laying hens. [ABSTRACT FROM AUTHOR]