Nitrogen migration and transformation during re-suspension and photo-induction in landscape water replenished by reclaimed water.

Sediment re-suspension plays a crucial role in releasing endogenous nitrogen and greenhouse gases in shallow urban waters. However, the impacts of repeated re-suspension and photo-induced processes on migration and transformation from endogenous nitrogen, as well as the emission of greenhouse gases, remain unclear. This study simulated three conditions: re-suspension (Rs), re-suspension combined with ultravioletirradiation (Rs + UV), and ultraviolet irradiation (UV). The findings revealed that both repeated sediment re-suspension and exposure to UV light altered the characteristics of surface sediments. Decrease of convertible nitrogen in sediments, leading to the release of ion-exchangeable nitrogen (IEF-N) into NH4+-N and NO3--N, influenced greenhouse gas production differently under various conditions. The study observed the highest concentration of dissolved N2O in under UV irradiation, positively correlated with NO2--N and NO3--N. Re-suspension increased the turbidity of the overlying water and accelerated nitrification, resulting in the highest NO3--N concentration and the lowest dissolved N2O concentration. Additionally, in the Rs + UV dissolved N2O maintained the higher concentrations than in Rs, with greatest amount of N conversion in surface sediments, and a 59.45% reduction in IEF-N. The production of N2O during re-suspension was mainly positively correlated with NH4+-N in the overlying water. Therefore, this study suggest that repeated re-suspension and light exposure significantly influence nitrogen migration and transformation processes in sediment, providing a theoretical explanation for the eutrophication of water and greenhouse gas emissions.

Improving water quality and mitigating CH4 and N2O production in urban landscape water simultaneously by optimizing calcium peroxide dosage.

Recent studies show that greenhouse gas (GHG) emissions from urban landscape water are significant and cannot be overlooked, underscoring the need to develop effective strategies for mitigating GHG production from global freshwater systems. Calcium peroxide (CaO2) is commonly used as an eco-friendly reagent for controlling eutrophication in water bodies, but whether CaO2 can reduce GHG emissions remains unclear. This study investigated the effects of CaO2 dosage on the production of methane (CH4) and nitrous oxide (N2O) in urban landscape water under anoxic conditions during summer. The findings reveal that CaO2 addition not only improved the physicochemical and organoleptic properties of simulated urban landscape water but also reduced N2O production by inhibiting the activity of denitrifying bacteria across various dosages. Moreover, CaO2 exhibited selective effects on methanogens. Specifically, the abundance of acetoclastic methanogen Methanosaeta and methylotrophic methanogen Candidatus_Methanofastidiosum increased whereas the abundance of the hydrogenotrophic methanogen Methanoregula decreased at low, medium, and high dosages, leading to higher CH4 production at increased CaO2 dosage. A comprehensive multi-objective evaluation indicated that an optimal dosage of 60 g CaO2/m2 achieved 41.21 % and 84.40 % reductions in CH4 and N2O production, respectively, over a 50-day period compared to the control. This paper not only introduces a novel approach for controlling the production of GHGs, such as CH4 and N2O, from urban landscape water but also suggests a methodology for optimizing CaO2 dosage, providing valuable insights for its practical application.

MicroRNA-29c Acting on FOS Plays a Significant Role in Nonalcoholic Steatohepatitis Through the Interleukin-17 Signaling Pathway.

Nonalcoholic fatty liver disease is the most common hepatic disease in western countries and is even more ubiquitous in Asian countries. Our study determined that TH17/Treg cells were imbalanced in animal models. Based on our interest in the mechanism underlying TH17/Treg cell imbalance in nonalcoholic fatty liver mice, we conducted a joint bioinformatics analysis to further investigate this process. Common gene sequencing analysis was based on one trial from one sequencing platform, where gene expression analysis and enrichment analysis were the only analyses performed. We compared different sequencing results from different trials performed using different sequencing platforms, and we utilized the intersection of these analytical results to perform joint analysis. We used a bioinformatics analysis method to perform enrichment analysis and map interaction network analysis and predict potential microRNA sites. Animal experiments were also designed to validate the results of the data analysis based on quantitative polymerase chain reaction (qPCR) and western blotting. Our results revealed 8 coexisting differentially expressed genes (DEGs) and 7 hinge genes. The identified DEGs may influence nonalcoholic steatosis hepatitis through the interleukin-17 pathway. We found that microRNA-29c interacts with FOS and IGFBP1. Polymerase chain reaction analyses revealed both FOS and microRNA-29c expression in NASH mice, and western blot analyses indicated the same trend with regard to FOS protein levels. Based on these results, we suggest that microRNA-29c acts on FOS via the interleukin-17 signaling pathway to regulate TH17/Treg cells in NASH patients.

Transfer learning radiomics based on multimodal ultrasound imaging for staging liver fibrosis.

OBJECTIVES: To propose a transfer learning (TL) radiomics model that efficiently combines the information from gray scale and elastogram ultrasound images for accurate liver fibrosis grading. METHODS: Totally 466 patients undergoing partial hepatectomy were enrolled, including 401 with chronic hepatitis B and 65 without fibrosis pathologically. All patients received elastography and got liver stiffness measurement (LSM) 2-3 days before surgery. We proposed a deep convolutional neural network by TL to analyze images of gray scale modality (GM) and elastogram modality (EM). The TL process was used for liver fibrosis classification by Inception-V3 network which pretrained on ImageNet. The diagnostic performance of TL and non-TL was compared. The value of single modalities, including GM and EM alone, and multimodalities, including GM + LSM and GM + EM, was evaluated and compared with that of LSM and serological indexes. Receiver operating characteristic curve analysis was performed to calculate the optimal area under the curve (AUC) for classifying fibrosis of S4, ≥ S3, and ≥ S2. RESULTS: TL in GM and EM demonstrated higher diagnostic accuracy than non-TL, with significantly higher AUCs (all p < .01). Single-modal GM and EM both performed better than LSM and serum indexes (all p < .001). Multimodal GM + EM was the most accurate prediction model (AUCs are 0.950, 0.932, and 0.930 for classifying S4, ≥ S3, and ≥ S2, respectively) compared with GM + LSM, GM and EM alone, LSM, and biomarkers (all p < .05). CONCLUSIONS: Liver fibrosis can be staged by a transfer learning modal based on the combination of gray scale and elastogram ultrasound images, with excellent performance. KEY POINTS: • Transfer learning consists in applying to a specific deep learning algorithm that pretrained on another relevant problem, expected to reduce the risk of overfitting due to insufficient medical images. • Liver fibrosis can be staged by transfer learning radiomics with excellent performance. • The most accurate prediction model of transfer learning by Inception-V3 network is the combination of gray scale and elastogram ultrasound images.

A Nude Mouse Model of Orthotopic Liver Transplantation of Human Hepatocellular Carcinoma HCCLM3 Cell Xenografts and the Use of Imaging to Evaluate Tumor Progression.

BACKGROUND This study aimed to develop a nude mouse model of orthotopic liver transplantation of HCCLM3 human hepatocellular carcinoma (HCC) cell xenografts and the use of imaging and histology to evaluate tumor development and progression. MATERIAL AND METHODS HCCLM3 cells were injected subcutaneously into 25 healthy male athymic BALB/c (nu/nu) nude mice. The tumors that developed were transplanted into the liver of a new set of nude mice. After four weeks and six weeks, the mice were imaged using ultrasound (US), software-assisted contrast-enhanced ultrasound (CEUS), fluorodeoxyglucose-positron emission tomography (FDG-PET). Histology was performed on the liver and liver tumors, and included immunohistochemistry for vascular endothelial growth factor (VEGF), CD31, CD34, and alpha-smooth muscle actin (alpha-SMA). RESULTS The success rate for orthotopic tumor transplantation in the mouse liver was 90% (18/20). Liver tumors measured 11.8±2.6 mm in diameter and 525.9±250.8 mm3 in volume on the sixth week. CEUS showed rapid wash-in and washout in the liver tumors, and PET showed low tumor cell metabolism. Bone metastases were present in 45% (9/20) of mice in the sixth week. Immunohistochemistry showed positive expression for VEGF, CD31, CD34, and alpha-SMA. CONCLUSIONS The nude mouse orthotopic liver transplantation model of human HCC was shown to be a reliable model that has the potential for future research on the pathogenesis and progression of HCC and studies on drug development.

Portal hypertension in hepatitis B-related cirrhosis: Diagnostic accuracy of liver and spleen stiffness by 2-D shear-wave elastography.

AIM: To assess the diagnostic accuracy of liver and spleen stiffness measured by 2-D shear-wave elastography (SWE) in evaluation of clinically significant and severe portal hypertension (CSPH and SPH, respectively). METHODS: Clinical data of 155 hepatitis B-related cirrhosis patients and their liver and spleen stiffness (L-SWE and S-SWE, respectively) were collected. The diagnostic performances of L-SWE, S-SWE, the liver stiffness-spleen diameter to platelet ratio score (LSPS) and portal hypertension risk score were evaluated. RESULTS: One hundred and four patients were eligible for analysis. Clinically significant and severe PH were detected in 84 and 74 patients, respectively. Liver and spleen stiffness were significantly correlated with hepatic venous pressure gradient in overall, CSPH, and SPH groups (rL = 0.607, 0.554, and 0.412; rS = 0.665, 0.566, and 0.467, respectively; all P < 0.05). The area under the receiver operating characteristic curves of L-SWE, S-SWE, LSPS, and PH risk score were 0.72 (95% confidence interval [CI], 0.49-0.95), 0.81 (95% CI, 0.55-0.97), 0.76 (95% CI, 0.51-0.96), and 0.73 (95% CI, 0.55-0.88) for CSPH, and 0.77 (95% CI, 0.51-0.93), 0.85 (95% CI, 0.59-0.96), 0.80 (95% CI, 0.58-0.98), and 0.80 (95% CI, 0.59-0.93) for SPH. The best cut-off of L-SWE for determining CSPH and SPH were 16.1 kPa (sensitivity, 78%; specificity, 72%) and 23.5 kPa (sensitivity, 81%; specificity, 79%). For S-SWE, the best cut-offs were 25.3 kPa (sensitivity, 85%; specificity, 79%) and 33.4 kPa (sensitivity, 74%; specificity, 70%). A cut-off of L-SWE <13.2 kPa or S-SWE <23.2 kPa was able to rule out CSPH, whereas a cut-off of L-SWE >24.9 kPa or S-SWE >34.2 kPa was able to rule in CSPH. CONCLUSIONS: Liver and spleen stiffness measured by 2-D SWE are reliable and promising non-invasive parameters to assess CSPH and SPH.