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2025
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- Pub. Date : 2025
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2025
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- Pub. Date : 2025
- Page : pp.101914-101914
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2025
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2025
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2025
Dongshan Bay is a typical subtropical semi-enclosed bay characterized by abundant fish resources. We aimed to assess fish diversity and its seasonal variation in Dongshan Bay and to provide a scientific basis for the sustainable management and conservation of the fishery’s resources. In this study, we employed environmental DNA (eDNA) metabarcoding technology to analyze fish diversity in the bay during winter 2023 and summer 2024. A total of 76 fish species were detected across 12 sampling sites, with 43 species identified in summer and 45 species seen in winter. Overall, 13 species were detected in both the winter and summer. Non-significant differences were observed in Alpha diversity among the sampling sites. Fish species richness at the HXH2 site was the lowest among all the sampling sites for the reason that this sampling site was near to the effluent outlet of the Zhangzhou nuclear power plant and notably influenced by the thermal discharge. In general, fish diversity and abundance were higher in winter than in summer. RDA test analysis revealed that water temperature and dissolved oxygen were the primary environmental factors influencing fish distribution in summer. In winter, the influence of various factors is relatively balanced, with chlorophyll and Blue Green Algae Phycoerythrin (BGA PE) having a relatively greater impact than other factors. Our results offer valuable insights into enhancing fish diversity management in Dongshan Bay.- Book : 17(3)
- Pub. Date : 2025
- Page : pp.452-452
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2025
Tissue maintenance is underpinned by resident stem cells whose activity is modulated by microenvironmental cues. Using Drosophila as a simple model to identify regulators of stem cell behaviour and survival in vivo, we have identified novel connections between the conserved transmembrane proteoglycan Syndecan, nuclear properties and stem cell function. In the Drosophila midgut, Syndecan depletion in intestinal stem cells results in their loss from the tissue, impairing tissue renewal. At the cellular level, Syndecan depletion alters cell and nuclear shape, and causes nuclear lamina invaginations and DNA damage. In a second tissue, the developing Drosophila brain, live imaging revealed that Syndecan depletion in neural stem cells results in nuclear envelope remodelling defects which arise upon cell division. Our findings reveal a new role for Syndecan in the maintenance of nuclear properties in diverse stem cell types.- Book : 21(2)
- Pub. Date : 2025
- Page : pp.e1011586-e1011586
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2025
Background: The evidence base for the management of oligoprogression in metastatic melanoma (MM) is limited. To our knowledge, this study presents the first analysis of the local benefit (LB) of radiotherapy combined with hyperthermia during systemic treatment in this diagnosis. Methods: Patients with oligoprogressive MM who were treated with radiotherapy (RTH) combined with hyperthermia (HT) at a melanoma center between 2019 and 2023 were evaluated. Oligoprogression was defined as up to five progressive metastases. Inclusion criteria was the availability of dimensions assessment of the lesion subjected to RTH before and after treatment, patients without follow-up imaging after radiotherapy were excluded. The benefit of RTH + HT was evaluated in terms of local control (LC) rates and LB rates. LC was defined as the percentage of patients who met the Response Evaluation Criteria In Solid Tumors (RECIST 1.1) criteria for stable disease (SD), partial response (PR), and complete response (CR). LB was defined as the proportion of patients who met the PR and CR criteria. In addition, overall survival (OS) rates were estimated. The association between BRAF status, age, concomitant systemic treatment, radiation total dose, and biologically effective dose and LC was estimated. Data regarding adverse effects associated with RTH + HT were compiled. Survival analyses were performed using the Kaplan–Meier estimator and log-rank tests and were used to compare between groups. Results: In total, 101 patients were included in the study, the median follow-up was 15.3 months (14–18 months). There were 56.4% BRAF(−) and 43.6% BRAF(+) patients. Most patients (71.3%) were irradiated during immunotherapy, 10.9% received concomitant BRAF and MEK inhibitors, and 3.9% had chemotherapy. LC and LB medians were not reached at the time of analysis. The 1- and 2-year LC rates were 93.5% (95% confidence interval (CI): 88.1%–99.3%) and 88.3% (95% CI: 79.9%–97.6%), respectively. The 1- and 2-year LB rates were 87.5% (95% CI: 80.5%–95.2%) and 78.1% (95% CI: 67.9%–89.9%), respectively. The mean reduction in irradiated tumor size across the entire cohort was 72%. The mOS from radiotherapy was not achieved at the time of our analysis, accordingly 1- and 2-year OS rates were 100% and 95% (95% CI: 90.4%–99.9%). None of the evaluated factors influenced LC among patients. Conclusion: Hyperthermia with radiotherapy is an effective treatment for patients with oligoprogressive melanoma. This approach has resulted in excellent LC. - Book : 17()
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2025
ABSTRACT
IFI16 (interferon-γ-inducible protein 16) is an innate-immune DNA sensor that detects viral dsDNA in the nucleus. It also functions as an antiviral restriction factor, playing a crucial role in regulating the latency/lytic balance of several herpesviruses, including Kaposi’s sarcoma-associated herpesvirus (KSHV). We previously demonstrated that IFI16 achieves this by regulating the deposition of H3K9me3 marks on the KSHV genome. Here, we explored whether IFI16 impacts the KSHV latency/lytic balance through additional mechanisms. Our analysis of the IFI16 interactome revealed that IFI16 binds to the class-I HDACs, HDAC1 and HDAC2, and recruits them to the KSHV major latency protein, latency-associated nuclear antigen (LANA). Previous reports have suggested that LANA undergoes lysine acetylation through unknown mechanisms, which results in the loss of its ability to bind to the KSHV transactivator protein (RTA) promoter. However, how the LANA acetylation-deacetylation cycle is orchestrated and what effect this has on KSHV gene expression remains unknown. Here, we demonstrate that LANA, by default, undergoes post-translational acetylation, and during latency, IFI16 interacts with this acetylated LANA and recruits HDAC1/2 to it. This keeps LANA in a deacetylated form, competent in binding and repressing lytic promoters. However, during lytic reactivation, IFI16 is degraded via the proteasomal pathway, leading to the accumulation of acetylated LANA, which cannot bind to the RTA promoter. This results in the de-repression of the RTA and, subsequently, other lytic promoters, driving reactivation. These findings shed new light on the role of IFI16 in KSHV latency and suggest that KSHV utilizes the cellular IFI16-HDAC1/2 interaction to facilitate its latency.
IMPORTANCE
Kaposi’s sarcoma-associated herpesvirus (KSHV) is an oncogenic γ-herpesviruses etiologically associated with several human malignancies, including Kaposi’s sarcoma, primary effusion B-cell lymphoma, and multicentric Castleman’s disease. Understanding the molecular mechanisms governing the establishment and maintenance of latency in γ-herpesviruses is crucial because latency plays a pivotal role in oncogenesis and disease manifestation post-infection. Here, we have elucidated a new mechanism by which IFI16, a previously discovered antiviral restriction factor, is hijacked by KSHV to recruit class-I HDACs on latency-associated nuclear antigen (LANA), resulting in the latter’s deacetylation. The acetylation status of LANA is critical for KSHV latency because it governs LANA’s binding to the KSHV replication and transcription activator (RTA) promoter, an immediate-early gene crucial for lytic reactivation. Depletion of IFI16 results in the accumulation of acetylated LANA, which is incapable of maintaining latency. These newly discovered interactions between IFI16 and LANA and between IFI16 and HDAC1/2 enhance our understanding of KSHV latency regulations.
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2025
ABSTRACTIn situ leaching (ISL) is an important method for green and efficient development of sandstone‐type uranium ore. It achieves ISL of uranium through the deployment of injection and extraction vertical well patterns. The optimization of parameter matching between injection and extraction wells is key to improving the efficiency of uranium development. However, as the depth of mining and the scale of development increase, the small area controlled by vertical wells leads to a large number of vertical wells and high drilling costs, which severely affect the benefits of mine development. In this paper, taking the development case of the LK mine area in Xinjiang as an example, an extraction method of “horizontal well injection–vertical well extraction” was innovatively proposed for the first time. By using the well‐storage coupling model and particle tracking technology, this study systematically investigated the impact of well types and injection–extraction parameters on the leaching range and the distribution of leaching dead zones. Furthermore, a hybrid multiobjective optimization algorithm was used to complete the parameter optimization of well‐storage coupling for ISL of uranium. The research content of this paper explores the impact of injection–extraction parameters and well spacing on the leaching effect of “horizontal well injection–vertical well extraction,” providing a method and approach for the optimization study of ISL uranium parameters. In addition, the research results of this paper have certain guiding significance for enhancing the leaching and extraction effect of the existing uranium mining plan in the LK mining area.- Book : ()
- Pub. Date : 2025
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2025
An effective neural network system for monitoring sensors in helicopter turboshaft engines has been developed based on a hybrid architecture combining LSTM and GRU. This system enables sequential data processing while ensuring high accuracy in anomaly detection. Using recurrent layers (LSTM/GRU) is critical for dependencies among data time series analysis and identification, facilitating key information retention from previous states. Modules such as SensorFailClean and SensorFailNorm implement adaptive discretization and quantisation techniques, enhancing the data input quality and contributing to more accurate predictions. The developed system demonstrated anomaly detection accuracy at 99.327% after 200 training epochs, with a reduction in loss from 2.5 to 0.5%, indicating stability in anomaly processing. A training algorithm incorporating temporal regularization and a combined optimization method (SGD with RMSProp) accelerated neural network convergence, reducing the training time to 4 min and 13 s while achieving an accuracy of 0.993. Comparisons with alternative methods indicate superior performance for the proposed approach across key metrics, including accuracy at 0.993 compared to 0.981 and 0.982. Computational experiments confirmed the presence of the highly correlated sensor and demonstrated the method’s effectiveness in fault detection, highlighting the system’s capability to minimize omissions.- Book : 25(4)
- Pub. Date : 2025
- Page : pp.990-990
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