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There are varieties of murine models of nonalcoholic steatohepatitis (NASH) with different pathophysiologic characteristics. For preclinical assessment, a standardized model would allow comparisons of various pharmacotherapeutic candidates in efficacy, pharmacokinetics, pharmaco-metabolism, and adverse effects under a same system. The present study aims to characterize murine NASH models by comparing end-points of major abnormalities. NASH was induced by feeding high fructose/glucose in drinking water (HF/G), high-fat/calorie diet (HFCD), and in combination (HFCD-HF/G) in mice for 8 or 16 weeks. HF/G feeding caused a minimal fat accumulation and increase in free fatty acids (FFA). In contrast, HFCD-HF/G feeding resulted in a remarkable increase in body weight, subcutaneous and visceral adipose tissue, macrosteatosis with a nearly seven-fold increase in triglyceride and FFA content, accompanied with marked hepatocellular injury, inflammatory responses, fibrosis, and insulin resistance, and represented as typical NASH in histopathology, metabolic, and adipokine profiles in a progressive manner. Meanwhile, mice fed HFCD displayed significant steatosis, necroptosis, fibrosis, insulin resistance, metabolic, and adipokine profiles, and the extent is less than those fed HFCD-HF/G. Significant MCP-1, CCR-2, and NLRP-1/3 activation were found in mice fed HFCD and HFCD-HF/G for 16 weeks, whereas gene expression of CPT-1 and ACOX-1 was down-regulated in these two groups in comparison to the controls. Nuclear receptors, such as SREBP-1c, FXR, LXR-α, PPAR-α, and PPAR-γ, were strikingly elevated in the HFCD-HF/G group. In conclusion, feeding HFCD-HF/G resulted in a reliable NASH model in mice with remarkable necroptosis, steatosis, fibrosis, and insulin resistance as well as a disordered profile of lipid metabolism and adipokine, and HFCD caused significant NASH features in histopathology and metabolic profiles only at a late stage. Whereas HF/G feeding barely led to minimal fat accumulation, some changes at molecular levels and metabolic disturbance in mice. Providing a high fat/calorie diet plus high fructose/glucose in drinking water is shown to be an optimal approach to induce nonalcoholic steatohepatitis in mice. The animal model shows remarkable necroptosis, steatosis, fibrosis and insulin resistance as well as a disordered profile of lipid metabolism and adipokines. This model should prove useful for pathophysiologic investigation and pharmacologic development.

Backgroud Sophora L. is a medicinally significant genus within Papilionoideae (Fabaceae), renowned for its medicinal, ecological, and economic importance. However, taxonomic and phylogenetic uncertainties persist within this genus, especially in China, due to limited genetic data and the lack of effective molecular markers. This study aimed to address these limitations by sequencing and analyzing chloroplast (cp.) genomes from six Sophora species endemic to China, thereby enriching genetic resources for future research. Result Here, we reported and characterized six chloroplast (cp.) genomes of Sophora species ( Sophora xanthantha , Sophora davidii , Sophora moocroftiana , Sophora tonkinensis , Sophora velutina , and Sophora velutina var. cavaleriei ) from China, sequenced using the Illumina HiSeq platform. Comparative analyses of these newly generated cp. genomes, alongside previously published Sophora cp. genomes, revealed that the Sophora cp. genomes exhibited a size range of 151,270 − 154,378 bp (excluding S. japonica and S. xanthantha ). We observed expansions of the inverted repeat (IR) regions in Sophora , leading to the translocation of rpl 2 into the large single-copy (LSC) region, pseudogenization of ycf 1, and absence of trn H in some species. Comparative genome analysis revealed a ~ 24-kb inversion between trn C-GCA and trn F-GAA within the genus, a phenomenon first observed to involve at least three rearrangements. Furthermore, we identified three valuable molecular markers ( trn T - UGU - trn L - UAA, psb E - pet L, and rps 11 - rpl 36) that are suitable for phylogenetic inference within Sophora . Conclusions Phylogenetic analyses based on the chloroplast genomes robustly supported the monophyly of sect. Pseudosophora . Importantly, our phylogenetic results suggested that S. japonica and S. xanthantha should not be classified within the genus Sophora . These findings contribute significantly to the chloroplast genomic data of Sophora and provide valuable genetic resources and molecular markers for resolving taxonomic ambiguities and advancing future phylogenetic, evolutionary, and taxonomic investigations of Sophora .

This paper proposes an improved two‐degree‐of‐freedom active disturbance rejection controller for the coupling problem of asynchronous motor vector system. To simplify the analysis process and accommodate observers of different types, a unified expression based on different controllers for the system output is developed. The closed‐loop transfer function generated by the reference input and load disturbance is given. For the coupling problem of motor output speed and immunity, the structure of a higher‐order extended state observer is reconstructed. The extended state observer estimates both the output speed and the total system disturbance, which serve as feedback and feed‐forward compensation quantities. Compared to the PI controller and traditional active disturbance rejection controller, the proposed controller achieves decoupling of output response speed and immunity, simplifies the process of parameter tuning. Finally, simulation and experiment results verify the feasibility and effectiveness of the algorithm in this paper. This paper proposes an improved two‐degree‐of‐freedom active disturbance rejection controller for the coupling problem of asynchronous motor vector system. The proposed controller achieves decoupling of output response speed and immunity, simplifies the process of parameter tuning. Simulation and experiment results verify the feasibility and effectiveness of the algorithm in this paper.

Cultivated land protection is an important way to mitigate land pollution and realize the sustainable development of agriculture. To reveal the key factors influencing farmers’ behavior of adopting cultivated land protection techniques (FBACT) from the perspective of land fragmentation and farmland transfer and to analyze the differences, a multivariate probit model is adopted to quantitatively analyze the impacts on FBACT based on field research and questionnaire surveys conducted in Jiangsu Province, China. The results show that farmland transfer promotes FBACT and that large areas of transfer-in land encourage it. Transfer-in land from outside villages reduces FBACT. The willingness of farmers to adopt protection techniques is affected by their age, their education level, family labor and the agricultural labor price, and it is hindered by land fragmentation. Encouraging farmers to transfer-in land from local villages and increasing their expectations of benefits from cultivated land protection will inspire them to adopt protection techniques. To increase the farmland transfer rate and to alleviate land fragmentation, the government should enhance the management of farmland transfer contracts and strengthen the stability of farmland use rights in farmland transfer. Promoting the transfer and integration of adjacent plots and appropriately expanding plot size will help improve FBACT.

Using microalgae to treat wastewater has received growing attention in the world because it is regarded as a novel means for wastewater treatment. It is commonly recognized that large-scale cultivation and commercial application of microalgae are limited by the development of photobioreactor (PBR). Although there are a lot of PBRs for microalgae pure cultivation which used culture medium, specialized PBRs designed for wastewater treatment are rare. The composition of wastewater is quite complicated; this might cause a very different photosynthetic effect of microalgae compared to those grown in a pure cultivation medium. Therefore, PBRs for wastewater treatment need to be redesigned and improved based on the existing PBRs that are used for microalgae pure cultivation. In this review, different PBRs for microalgae cultivation and wastewater treatment are summarized. PBR configurations, PBR design parameters and types of wastewater are presented. In addition, the wastewater treatment efficiency and biomass productivity were also compared among each type of PBRs. Moreover, some other promising PBRs are introduced in this review, and a two-stage cultivation mode which combines both closed and open system is discussed as well. Ultimately, this article focuses on current problems and gives an outlook for this field, aiming at providing a primary reference for microalgae cultivation by using wastewater.

Chronic sleep deprivation can lead to cognitive impairment which makes it difficult to think, focus, and make comprehensive decisions. This in turn leads to the progression and increased risk of several diseases. This study aimed to explore potential drug targets and biomarkers underlying the increased disease risk due to sleep deprivation, including stress responses, immune dysfunction, and metabolic dysregulation. Four datasets namely GSE40562, GSE98566, GSE98582 for sleep deprivation, and GSE26576 normal brain cells were utilized to understand the molecular basis and potential drug targets associated with sleep deprivation. The GEO2R tool, Robust rank aggregations, and Venny were used to retrieve the common DEGs. Functional gene and pathway analyses were carried out via GO and the KEGG analyses. The STRING and CytoHuba plugins were utilized to identify the protein-protein interactions (PPIs) as well as the hub genes in the main PPI subnetworks following the drug interaction of the hub genes and GEPIA-based survival analysis of the DEGs. A total of 160 common DEGs were retrieved from all four datasets. Among them, 65 were down-regulated and 95 were up-regulated. TOP2A, AURKB, NEFL, CDC42, ASPM, GAP43, PVALB, NUF2, CALM1, TPR, KIF5B, KIF15, TROAP, NDC80, PBK, MKI67, SST, AHSP, ALAS2, and NEFH were retrieved as hub genes. While based on drug interaction, survival analysis and gene expression profile eight hub gene named TOP2A, AURKB, PVALB, CALM1, KIF5B, PBK, MKI67, and SST were found to be potential drug candidates and significantly correlated with infiltration levels of CD8 + T cells, B cells, macrophages, CD4 + T cells, neutrophils, and dendritic cells. These genes might play a role in sleep disorders via various pathways associated with neurodegeneration and diseases, potentially serving as biomarkers to support treatment and diagnosis.

Background Heteroplexis Chang is an endangered genus endemic to China with important ecological and medicinal value. However, due to the lack of genetic data, our conservation strategies have repeatedly been delayed by controversial phylogenetic (molecular) relationships within the genera. In this study, we reported three new Heteroplexis chloroplast (cp.) genomes ( H. vernonioides , H. impressinervia and H. microcephala ) to clarify phylogenetic relationships between species allocated in this genus and other related Compositae. Results All three new cp. genomes were highly conserved, showing the classic four regions. Size ranged from 152,984 − 153,221 bp and contained 130 genes (85 protein-coding genes, 37 tRNA, eight rRNA) and two pseudogenes. By comparative genomic and phylogenetic analyses, we found a large-scale inversion of the entire large single-copy (LSC) region in H. vernonioides , H. impressinervia and H. microcephala , being experimentally verified by PCR. The inverted repeat (IR) regions showed high similarity within the five Heteroplexis plastomes, showing small-size contractions. Phylogenetic analyses did not support the monophyly of Heteroplexis genus, whereas clustered the five species within two differentiated clades within Aster genus. These phylogenetic analyses suggested that the five Heteroplexis species might be subsumed into the Aster genus. Conclusion Our results enrich the data on the cp. genomes of the genus Heteroplexis, providing valuable genetic resources for future studies on the taxonomy, phylogeny, and evolution of Aster  genus.

PurposeTo identify the diagnostic performance of magnetic resonance (MR) imaging for patients with adnexal torsion and to develop a predictive model for necrosis related to torsion.MethodsThe institutional ethics committee approved this retrospective study. A total of 56 women with a preoperative pelvic MR scan and a surgical and pathologic diagnosis of adnexal torsion were enrolled from five institutions. Three radiologists reviewed the MR images independently. The kappa value of interrater agreement was assessed. Differences between patients treated with conservative surgery and adnexectomy were evaluated by univariate and multivariate logistic regression analyses. Receiver operating characteristic (ROC) curve analysis was used to assess the ability of the model to predict ovarian necrosis.ResultsFifty-six patients were divided into the conservative surgery group (24/56, 42.9%) or the adnexectomy group (32/56, 57.1%) depending on the surgical outcomes. The radiographic features related to torsion were interpreted by three raters retrospectively with substantial interrater agreement (kappa > 0.60). Older reproductive age and pedicle hemorrhagic infarction were significantly associated with adnexectomy (p < 0.05). At multivariate analysis, pedicle hemorrhagic infarction (odds ratio = 10.476 [95% confidence interval 1.103, 99.504; p = 0.041]) was associated with adnexectomy. Using the predictive model (older reproductive age and pedicle hemorrhagic infarction), a receiver operating characteristic curve was generated with an area under the curve (AUC = 0.870 ± 0.049).ConclusionThe presence of pedicle hemorrhagic infarction and older reproductive age can predict necrosis of adnexal torsion and may be used to guide the optimal treatment strategy.Key Points• Pedicle hemorrhagic infarction and older reproductive age are predictors of necrosis in adnexal torsion in patients of reproductive age (AUC = 0.870 ± 0.049).• Cystic wall thickening, enlarged vascular pedicle, tubal thickening, and uterine deviation are associated with a high risk for adnexal torsion, occurring in more than half of the cases in this study.• MR findings are useful for the definitive diagnosis of adnexal torsion and for the prediction of adnexal necrosis.

Pain relief is a major concern for patients who have undergone surgery, and it is an eternal pursuit for anesthesiologists. However, postoperative pain management is far from satisfactory, though the past decades have witnessed great progress in the development of novel analgesics and analgesic techniques. A Cochrane systematic review showed that patient-controlled analgesia (PCA) achieved better pain relief and greater patient satisfaction than traditional “on-demand” parenteral analgesia, suggesting that it might be the manner of analgesia implementation that matters for effective postoperative pain management. A wireless intelligent PCA (Wi-PCA) system that incorporated remote monitoring, an intelligent alarm, intelligent analysis and assessment of the PCA equipment, as well as automatically recording and reserving key information functions under a wireless environment was introduced in our department in 2018. The practice showed that the Wi-PCA system significantly reduced the incidence of moderate to severe postoperative pain and relevant adverse effects, shortened hospital stays, and improved patient satisfaction with postoperative pain relief. Nevertheless, for both traditional and Wi-PCA, analgesics are only administered when pain occurs, leaving behind a realm of possibilities for better postoperative pain management. With the rapid development of machinery and deep learning algorithms, artificial intelligence (AI) is changing the mode of clinical decision making. Integrating the big data collected by state-of-the-art monitoring sensors, the Internet of Things and AI algorithms, an AI-assisted PCA (Ai-PCA) may be a promising future direction for postoperative pain management.

Background Monitoring and providing early warning are essential operations in the anaerobic digestion (AD) process. However, there are still several challenges for identifying the early warning indicators and their thresholds. One particular challenge is that proposed strategies are only valid under certain conditions. Another is the feasibility and universality of the detailed threshold values obtained from different AD systems. In this article, we report a novel strategy for identifying early warning indicators and defining threshold values via a combined experimental and simulation approach. Results The AD of corn stalk (CS) was conducted using mesophilic, completely stirred anaerobic reactors. Two overload modes (organic and hydraulic) and overload types (sudden and gradual) were applied in order to identify early warning indicators of the process and determine their threshold values. To verify the selection of experimental indicators, a combined experimental and simulation approach was adopted, using a modified anaerobic bioconversion mathematical model (BioModel). Results revealed that the model simulations agreed well with the experimental data. Furthermore, the ratio of intermediate alkalinity to bicarbonate alkalinity (IA/BA) and volatile fatty acids (VFAs) were selected as the most potent early warning indicators, with warning times of 7 days and 5–8 days, respectively. In addition, IA, BA, and VFA/BA were identified as potential auxiliary indicators for diagnosing imbalances in the AD system. The relative variations for indicators based on that of steady state were observed instead of the absolute threshold values, which make the early warning more feasible and universal. Conclusion The strategy of a combined approach presented that the model is promising tool for selecting and monitoring early warning indicators in various corn stalk AD scenarios. This study may offer insight into industrial application of early warning in AD system with mathematical model.