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Abstract Background This study was to analyze the roles of red blood cell distribution width (RDW), anion gap (AG) levels and their combined effects on the risk of acute kidney injury (AKI) following cardiac surgery. Methods This cohort study extracted the data of 1951 participants aged ≥ 18 years with the assessment of AKI after cardiac surgery during ICU stay from MIMIC-IV database between 2008 and 2019. Receiver operator characteristic (ROC) curve was used to determine the optimal cut-off value AG and RDW. The associations between AG, RDW, and the combined effects of AG and effects were evaluated via univariable and multivariable Logistic models. Odds ratio (OR) with 95% confidence interval (CI) were imputed. Results Among all the participants, 831 participants had AKI, and 1120 did not have AKI. ROC curves revealed that the optimum cut of points of AG and RDW were 12.75 mmol/L, and 13.65%, respectively. Increased risk of AKI was found in patients after cardiac surgery with AG > 12.75 mmol/L (OR = 1.44, 95%CI 1.15–1.80) or RDW > 13.65% group (OR = 1.23, 95%CI 1.01–1.50). In comparison to subjects with AG ≤ 12.75 mmol/L and RDW ≤ 13.65%, AG > 12.75 mmol/L and RDW ≤ 13.65% (OR = 1.42, 95%CI 1.07–1.89), and AG > 12.75 mmol/L and RDW > 13.65% (OR = 1.75, 95%CI 1.24–2.47) were associated with increased odds of AKI in patients after cardiac surgery. Conclusions AG and RDW had combined effects on risk of AKI in patients after cardiac surgery, which might offer an insight for the management of patients after cardiac surgery.

Abstract Background The aim of the study was to establish a weighted comprehensive evaluation model (WCEM) of image registration for cone‐beam computed tomography (CBCT) guided lung cancer radiotherapy that considers the geometric accuracy of gross target volume (GTV) and organs at risk (OARs), and assess the registration accuracy of different image registration methods to provide clinical references. Methods The planning CT and CBCT images of 20 lung cancer patients were registered using diverse algorithms (bony and grayscale) and regions of interest (target, ipsilateral, and body). We compared the coverage ratio (CR) of the planning target volume (PTVCT) to GTVCBCT, as well as the dice similarity coefficient (DSC) of the GTV and OARs, considering the treatment position across various registration methods. Furthermore, we developed a mathematical model to assess registration results comprehensively. This model was evaluated and validated using CRFs across four automatic registration methods. Results The grayscale registration method, coupled with the registration of the ipsilateral structure, exhibited the highest level of automatic registration accuracy, the DSC were 0.87 ± 0.09 (GTV), 0.71 ± 0.09 (esophagus), 0.74 ± 0.09 (spinal cord), and 0.91 ± 0.05 (heart), respectively. Our proposed WCEM proved to be both practical and effective. The results clearly indicated that the grayscale registration method, when applied to the ipsilateral structure, achieved the highest CRF score. The average CRF scores, excellent rates, good rate and qualification rates were 58 ± 26, 40%, 75%, and 85%, respectively. Conclusions This study successfully developed a clinically relevant weighted evaluation model for CBCT‐guided lung cancer radiotherapy. Validation confirmed the grayscale method's optimal performance in ipsilateral structure registration.

This study evaluated the effects of flavonoids from mulberry leaves (FML) on plasma biochemical indices, serum activities of lipid metabolism-related enzymes, fat morphology, fatty acid composition, and lipid metabolism in different adipose tissues of finishing pigs. We used 120 Chinese hybrid barrows of Berkshire and Bama mini-pigs with an average initial body weight of 45.11 ± 4.23 kg. The pigs were randomly assigned to five treatment groups and fed a control diet based on corn, soybean meal, and wheat bran or a control diet supplemented with 0.02%, 0.04%, 0.08%, or 0.16% FML. Each experimental group had six replicates (pens), with four pigs per pen. After a 7-d adaptation period, the feeding trial was conducted for 58 d. Blood and adipose tissue samples were collected from 30 pigs (one pig per pen) at the end of the test. The results showed that FML supplementation significantly decreased the feed intake to body gain ratio, the plasma concentrations of total cholesterol and free fatty acids, and the serum activity of 3-hydroxy-3-methylglutaryl coenzyme A reductase (linear or quadratic effects, P

Abstract Background Shaziling pig is a well-known indigenous breed in China who has superior meat quality traits. However, the genetic mechanism and genomic evidence underlying meat quality characteristics of Shaziling pigs are still unclear. To explore and investigate the germplasm characteristics of Shaziling pigs, we totally analyzed 67 individual’s whole genome sequencing data for the first time (20 Shaziling pigs [S], 20 Dabasha pigs [DBS], 11 Yorkshire pigs [Y], 10 Berkshire pigs [BKX], 5 Basha pigs [BS] and 1 Warthog). Results A total of 2,538,577 SNPs with high quality were detected and 9 candidate genes which was specifically selected in S and shared in S to DBS were precisely mined and screened using an integrated analysis strategy of identity-by-descent (IBD) and selective sweep. Of them, dickkopf WNT signaling pathway inhibitor 2 (DKK2), the antagonist of Wnt signaling pathway, was the most promising candidate gene which was not only identified an association of palmitic acid and palmitoleic acid quantitative trait locus in PigQTLdb, but also specifically selected in S compared to other 48 Chinese local pigs of 12 populations and 39 foreign pigs of 4 populations. Subsequently, a mutation at 12,726-bp of DKK2 intron 1 (g.114874954 A > C) was identified associated with intramuscular fat content using method of PCR–RFLP in 21 different pig populations. We observed DKK2 specifically expressed in adipose tissues. Overexpression of DKK2 decreased the content of triglyceride, fatty acid synthase and expression of relevant genes of adipogenic and Wnt signaling pathway, while interference of DKK2 got contrary effect during adipogenesis differentiation of porcine preadipocytes and 3T3-L1 cells. Conclusions Our findings provide an analysis strategy for mining functional genes of important economic traits and provide fundamental data and molecular evidence for improving pig meat quality traits and molecular breeding.

To investigate the effect of different MR sequences on the accuracy of Cycle-consistent Generative Adversarial Network (CycleGAN) based synthetic CT (sCT) generation in nasopharyngeal carcinoma (NPC). In this work, three sequences of MR, included T1-weighted imaging (T1WI), T2-weighted imaging (T2WI), and T1 contrast-enhanced weighted imaging (T1WIC), and planning CT (PCT) images of 151 patients with NPC were collected. The number of training, verification, and test sets were 108, 16, and 27, respectively. Three unsupervised CycleGAN-based models were trained using different sequences (single channels) as inputs, and the synergistic fusion model were used multiple channels. To assess the precision of these models, we evaluated key metrics such as mean error (ME), mean absolute error (MAE), structural similarity index (SSIM), peak signal-to-noise ratio (PSNR), and dose distribution, comparing the PCT with the sCT generated by each model. Overall, The SCTT2 image generated by T2WI model achieved superior results than those of T1WIC and T1WI for a single-sequence model. Compared to the SCTT2, the quality of the SCTFusion image generated by the fusion model was further improved, with significant differences in the MAE, SSIM, and PNSR metrics (P $112.97\pm 9.69$ vs. $90.99\pm 9.64$ , P $0.86\pm 0.02$ vs. $0.89\pm 0.02$ , P $21.66\pm 0.64$ vs. $23.28\pm 0.87$ , P $\pm ~1.05$ % and 0.73%±0.73% for the fusion model. In conclusion, our findings reveal that the CycleGAN model, particularly when employing fusion MR sequences as input, offers the highest accuracy in synthetic CT generation. Notably, T2WI images stand out as a viable option for sCT prediction in clinical settings where acquisition sequences or times are limited.

Background: Ningxiang pigs are known for tasty meat and high intramuscular fat content. Currently, the slow growth rate and low lean meat rate of Ningxiang pigs have greatly restricted the development of its market. Therefore, the objective of this study is to explore the changes in carcass traits, meat quality, visceral organ weight indices, bones and muscles development with slaughter ages of Ningxiang pigs. Methods: The experiment used 0, 60, 120, 180, 240, 300 and 360 days old Ningxiang pigs as the research objects, and 6 castrated male pigs in each group were randomly selected. The carcass traits, meat quality, visceral organs weights and skeletal muscle weights were measured. The correlation between carcass traits and meat quality were analyzed by bivariate analysis, and the regression equations between slaughter ages and these indicators were established. Result: The results showed that pre-slaughter weight and weights of carcass, head, feet, skeleton and muscle, loin eye area, cooking yield, marbling and the large intestine weight index at 0 d, backfat thickness at 60 d, fat percentages at 60 and 120 d and the lean meat percentage at 240 d, redness at 120 d of Ningxiang pigs were lowest, the heart, lung, kidney and small intestine weight percentages were highest at 0 d (P<0.05). Carcass traits and meat quality had different significant correlation at different slaughter ages. So the indices of carcass, meat quality, bones and muscles of Ningxiang pigs changed with slaughter ages. In general, the overall performance of 300 d Ningxiang pigs is better. [ABSTRACT FROM AUTHOR]