Amelioration of nonalcoholic fatty liver disease by inhibiting the deubiquitylating enzyme RPN11.

Nonalcoholic fatty liver disease (NAFLD), including its more severe manifestation nonalcoholic steatohepatitis (NASH), is a global public health challenge. Here, we explore the role of deubiquitinating enzyme RPN11 in NAFLD and NASH. Hepatocyte-specific RPN11 knockout mice are protected from diet-induced liver steatosis, insulin resistance, and steatohepatitis. Mechanistically, RPN11 deubiquitinates and stabilizes METTL3 to enhance the m6A modification and expression of acyl-coenzyme A (CoA) synthetase short-chain family member 3 (ACSS3), which generates propionyl-CoA to upregulate lipid metabolism genes via histone propionylation. The RPN11-METTL3-ACSS3-histone propionylation pathway is activated in the livers of patients with NAFLD. Pharmacological inhibition of RPN11 by Capzimin ameliorated NAFLD, NASH, and related metabolic disorders in mice and reduced lipid contents in human hepatocytes cultured in 2D and 3D. These results demonstrate that RPN11 is a novel regulator of NAFLD/NASH and that suppressing RPN11 has therapeutic potential for the treatment.

SLC30A9: an evolutionarily conserved mitochondrial zinc transporter essential for mammalian early embryonic development.

SLC30A9 (ZnT9) is a mitochondria-resident zinc transporter. Mutations in SLC30A9 have been reported in human patients with a novel cerebro-renal syndrome. Here, we show that ZnT9 is an evolutionarily highly conserved protein, with many regions extremely preserved among evolutionarily distant organisms. In Drosophila melanogaster (the fly), ZnT9 (ZnT49B) knockdown results in acutely impaired movement and drastic mitochondrial deformation. Severe Drosophila ZnT9 (dZnT9) reduction and ZnT9-null mutant flies are pupal lethal. The phenotype of dZnT9 knockdown can be partially rescued by mouse ZnT9 expression or zinc chelator TPEN, indicating the defect of dZnT9 loss is indeed a result of zinc dyshomeostasis. Interestingly, in the mouse, germline loss of Znt9 produces even more extreme phenotypes: the mutant embryos exhibit midgestational lethality with severe development abnormalities. Targeted mutagenesis of Znt9 in the mouse brain leads to serious dwarfism and physical incapacitation, followed by death shortly. Strikingly, the GH/IGF-1 signals are almost non-existent in these tissue-specific knockout mice, consistent with the medical finding in some human patients with severe mitochondrial deficiecny. ZnT9 mutations cause mitochondrial zinc dyshomeostasis, and we demonstrate mechanistically that mitochondrial zinc elevation quickly and potently inhibits the activities of respiration complexes. These results reveal the critical role of ZnT9 and mitochondrial zinc homeostasis in mammalian development. Based on our functional analyses, we finally discussed the possible nature of the so far identified human SLC30A9 mutations.

Discovery of PRMT3 Degrader for the Treatment of Acute Leukemia.

Protein arginine methyltransferase 3 (PRMT3) plays an important role in gene regulation and a variety of cellular functions, thus, being a long sought-after therapeutic target for human cancers. Although a few PRMT3 inhibitors are developed to prevent the catalytic activity of PRMT3, there is little success in removing the cellular levels of PRMT3-deposited ω-NG,NG-asymmetric dimethylarginine (ADMA) with small molecules. Moreover, the non-enzymatic functions of PRMT3 remain required to be clarified. Here, the development of a first-in-class MDM2-based PRMT3-targeted Proteolysis Targeting Chimeras (PROTACs) 11 that selectively reduced both PRMT3 protein and ADMA is reported. Importantly, 11 inhibited acute leukemia cell growth and is more effective than PRMT3 inhibitor SGC707. Mechanism study shows that 11 induced global gene expression changes, including the activation of intrinsic apoptosis and endoplasmic reticulum stress signaling pathways, and the downregulation of E2F, MYC, oxidative phosphorylation pathways. Significantly, the combination of 11 and glycolysis inhibitor 2-DG has a notable synergistic antiproliferative effect by further reducing ATP production and inducing intrinsic apoptosis, thus further highlighting the potential therapeutic value of targeted PRMT3 degradation. These data clearly demonstrated that degrader 11 is a powerful chemical tool for investigating PRMT3 protein functions.

Structural basis for linker histone H5-nucleosome binding and chromatin fiber compaction.

The hierarchical packaging of chromatin fibers plays a critical role in gene regulation. The 30-nm chromatin fibers, a central-level structure bridging nucleosomal arrays to higher-order organizations, function as the first level of transcriptional dormant chromatin. The dynamics of 30-nm chromatin fiber play a crucial role in biological processes related to DNA. Here, we report a 3.6-angstrom resolution cryogenic electron microscopy structure of H5-bound dodecanucleosome, i.e., the chromatin fiber reconstituted in the presence of linker histone H5, which shows a two-start left-handed double helical structure twisted by tetranucleosomal units. An atomic structural model of the H5-bound chromatin fiber, including an intact chromatosome, is built, which provides structural details of the full-length linker histone H5, including its N-terminal domain and an HMG-motif-like C-terminal domain. The chromatosome structure shows that H5 binds the nucleosome off-dyad through a three-contact mode in the chromatin fiber. More importantly, the H5-chromatin structure provides a fine molecular basis for the intra-tetranucleosomal and inter-tetranucleosomal interactions. In addition, we systematically validated the physiological functions and structural characteristics of the tetranucleosomal unit through a series of genetic and genomic studies in Saccharomyces cerevisiae and in vitro biophysical experiments. Furthermore, our structure reveals that multiple structural asymmetries of histone tails confer a polarity to the chromatin fiber. These findings provide structural and mechanistic insights into how a nucleosomal array folds into a higher-order chromatin fiber with a polarity in vitro and in vivo.

Exploring Mianzi consciousness congruence and its impact on unethical pro-organizational behavior.

BACKGROUND: In Chinese culture, the concept of Mianzi holds significant importance in interpersonal interactions. Mianzi represents one's social standing, dignity, and reputation, influencing behaviors and decisions within various contexts. Mianzi consciousness manifests in two primary forms: proactive and defensive. Proactive Mianzi consciousness involves efforts to enhance one's social image, while defensive Mianzi consciousness focuses on protecting one's existing reputation. Analyzing the impact of the two Mianzi consciousness dimensions on individuals' attitudes and behaviors is effective for understanding interpersonal dynamics in China. This study specifically examined the relationship between high Mianzi consciousness congruence and unethical pro-organizational behavior (UPB). UPB refers to actions taken by employees that are intended to benefit their organization but are unethical or morally questionable. By investigating how congruence in proactive and defensive Mianzi consciousness influences the likelihood of engaging in UPB, this research aimed to uncover the underlying social and psychological mechanisms driving such behavior. METHODS: Employing polynomial regression and response surface analysis method, this study developed a model that combines the proactive Mianzi consciousness and the defensive Mianzi consciousness into different Mianzi management strategies and tested the relationship between high Mianzi consciousness congruence and UPB. RESULTS: Sample data collected at two time points one month apart supported all hypotheses. Specifically, the findings revealed that high levels of Mianzi consciousness congruence (i.e., all-around type in Mianzi management strategies) positively relate to UPB, and verified the mediation effect of external work locus of control and the moderation effect of relational psychological contract. CONCLUSION: This research advanced a novel, synergistic perspective on the role of social Mianzi and contributed to the localized UPB research, thus helping to find a path to prevent UPB from occurring in the Chinese sociocultural context.

Structural insights into the cooperative nucleosome recognition and chromatin opening by FOXA1 and GATA4.

Mouse FOXA1 and GATA4 are prototypes of pioneer factors, initiating liver cell development by binding to the N1 nucleosome in the enhancer of the ALB1 gene. Using cryoelectron microscopy (cryo-EM), we determined the structures of the free N1 nucleosome and its complexes with FOXA1 and GATA4, both individually and in combination. We found that the DNA-binding domains of FOXA1 and GATA4 mainly recognize the linker DNA and an internal site in the nucleosome, respectively, whereas their intrinsically disordered regions interact with the acidic patch on histone H2A-H2B. FOXA1 efficiently enhances GATA4 binding by repositioning the N1 nucleosome. In vivo DNA editing and bioinformatics analyses suggest that the co-binding mode of FOXA1 and GATA4 plays important roles in regulating genes involved in liver cell functions. Our results reveal the mechanism whereby FOXA1 and GATA4 cooperatively bind to the nucleosome through nucleosome repositioning, opening chromatin by bending linker DNA and obstructing nucleosome packing.

Centrifugal Inertia-Induced Directional Alignment of AgNW Network for Preparing Transparent Electromagnetic Interference Shielding Films with Joule Heating Ability.

Transparent electromagnetic interference (EMI) shielding is highly desired in specific visual scenes, but the challenge remains in balancing their EMI shielding effectiveness (SE) and optical transmittance. Herein, this study proposed a directionally aligned silver nanowire (AgNW) network construction strategy to address the requirement of high EMI SE and satisfactory light transmittance using a rotation spraying technique. The orientation distribution of AgNW is induced by centrifugal inertia force generated by a high-speed rotating roller, which overcomes the issue of high contact resistance in random networks and achieves high conductivity even at low AgNW network density. Thus, the obtained transparent conductive film achieved a high light transmittance of 72.9% combined with a low sheet resistance of 4.5 Ω sq-1 and a desirable EMI SE value of 35.2 dB at X band, 38.9 dB in the K-band, with the highest SE of 43.4 dB at 20.4 GHz. Simultaneously, the excellent conductivity endowed the film with outstanding Joule heating performance and defogging/deicing ability, ensuring the visual transparency of windows when shielding electromagnetic waves. Hence, this research presents a highly effective strategy for constructing an aligned AgNW network, offering a promising solution for enhancing the performance of optical-electronic devices.

CREdb: A comprehensive database of Cis-Regulatory Elements and their activity in human cells and tissues.

BACKGROUND: Cis-regulatory elements (CREs) play a pivotal role in gene expression regulation, allowing cells to serve diverse functions and respond to external stimuli. Understanding CREs is essential for personalized medicine and disease research, as an increasing number of genetic variants associated with phenotypes and diseases overlap with CREs. However, existing databases often focus on subsets of regulatory elements and present each identified instance of element individually, confounding the effort to obtain a comprehensive view. To address this gap, we have created CREdb, a comprehensive database with over 10 million human regulatory elements across 1,058 cell types and 315 tissues harmonized from different data sources. We curated and aligned the cell types and tissues to standard ontologies for efficient data query. RESULTS: Data from 11 sources were curated and mapped to standard ontological terms. 11,223,434 combined elements are present in the final database, and these were merged into 5,666,240 consensus elements representing the combined ranges of the individual elements informed by their overlap. Each consensus element contains curated metadata including the number of elements supporting it and a hash linking to the source databases. The inferred activity of each consensus element in various cell-type and tissue context is also provided. Examples presented here show the potential utility of CREdb in annotating non-coding genetic variants and informing chromatin accessibility profiling analysis. CONCLUSIONS: We developed CREdb, a comprehensive database of CREs, to simplify the analysis of CREs by providing a unified framework for researchers. CREdb compiles consensus ranges for each element by integrating the information from all instances identified across various source databases. This unified database facilitates the functional annotation of non-coding genetic variants and complements chromatin accessibility profiling analysis. CREdb will serve as an important resource in expanding our knowledge of the epigenome and its role in human diseases.

Coupling coordination degree measurement and spatial characteristics analysis of green finance and technological innovation -Empirical analysis based on China.

The coordinated development of green finance and technological innovation is a key driver of China's high-quality economic growth and therefore deserves close attention. But are green finance and technological innovation really coordinated? This study establishes a coordinating coupling system to link green finance and technological innovation. 2010-2021 is chosen as the observation period, and 31 provinces in China are selected for study. This paper uses the coupling coordination model to investigate the development of the coupling coordination of technological innovation and green finance, and discusses its spatial distribution by the Moran index. The results show that, overall, the degree of coupling coordination between green finance and technological innovation shows a consistent upward trend. The trend is particularly strong in the East. Moreover, the coordination coupling between green finance and technological innovation has the spatial effect. And it shows a binary characteristic, with a decreasing trend observed from coastal to inland regions. These results remained valid after replacing weight matrix and sample size.The above findings have important policy implications for optimising the synergistic development of green finance and technological innovation and achieving high-quality economic development.

The Impact of digital finance on rural energy poverty-empirical evidence from rural China.

It is of critical importance to address energy poverty in rural areas if inclusive prosperity is to be achieved. Digital finance offers new opportunities to alleviate energy poverty in these regions. However, previous studies have mainly focused on the impact of digital finance on poverty, neglecting research on its impact in rural areas and on specific forms of poverty. This study aims to fill this gap by investigating the impact of digital finance on rural energy poverty. The period 2011-2021 was selected as the observation period, with 31 provinces serving as the study objects. The fixed effects model was employed to investigate the impact of digital finance on rural energy poverty, while exploring the mediating effect. The results indicate that digital finance alleviates the level of rural energy poverty, and this conclusion remains valid following a series of robustness tests. Furthermore, digital finance can indirectly alleviate rural energy poverty through technological innovation and agricultural entrepreneurship activities. Further research indicates that the impact of digital finance on rural energy poverty is more pronounced in regions with abundant human capital, robust government intervention, and minimal urban-rural disparities. This study extends the theoretical support for digital finance to indirectly support rural energy to alleviate poverty. Likewise, this finding provides a new perspective for the government and relevant departments to improve the welfare of residents and alleviate rural energy poverty.

Alanine aminotransferase as a risk marker for new-onset metabolic dysfunction-associated fatty liver disease.

In this editorial, we comment on the article by Chen et al. Metabolic dysfunction-associated fatty liver disease (MAFLD) is a global public health burden whose incidence has risen concurrently with overweight and obesity. Given its detrimental health impact, early identification of at-risk individuals is crucial. MAFLD diagnosis is based on evidence of hepatic steatosis indicated by liver biopsy, imaging, or blood biomarkers, and one of the following conditions: Overweight/ obesity, type 2 diabetes mellitus, or metabolic dysregulation. However, in large-scale epidemiological studies, liver biopsies are not feasible. The application of techniques such as ultrasonography, computed tomography, magnetic resonance imaging, and magnetic resonance spectroscopy is restricted by their limited sensitivity, low effectiveness, high costs, and need for specialized software. Blood biomarkers offer several advantages, particularly in large-scale epidemiological studies or clinical scenarios where traditional imaging techniques are impractical. Analysis of cumulative effects of excess high-normal blood alanine aminotransferase (ALT) levels of blood ALT levels could facilitate identification of at-risk patients who might not be detected through conventional imaging methods. Accordingly, investigating the utility of blood biomarkers in MAFLD should enhance early detection and monitoring, enabling timely intervention and management and improving patient outcomes.

Monocular Pose Estimation Method for Automatic Citrus Harvesting Using Semantic Segmentation and Rotating Target Detection.

The lack of spatial pose information and the low positioning accuracy of the picking target are the key factors affecting the picking function of citrus-picking robots. In this paper, a new method for automatic citrus fruit harvest is proposed, which uses semantic segmentation and rotating target detection to estimate the pose of a single culture. First, Faster R-CNN is used for grab detection to identify candidate grab frames. At the same time, the semantic segmentation network extracts the contour information of the citrus fruit to be harvested. Then, the capture frame with the highest confidence is selected for each target fruit using the semantic segmentation results, and the rough angle is estimated. The network uses image-processing technology and a camera-imaging model to further segment the mask image of the fruit and its epiphyllous branches and realize the fitting of contour, fruit centroid, and fruit minimum outer rectangular frame and three-dimensional boundary frame. The positional relationship of the citrus fruit to its epiphytic branches was used to estimate the three-dimensional pose of the citrus fruit. The effectiveness of the method was verified through citrus-planting experiments, and then field picking experiments were carried out in the natural environment of orchards. The results showed that the success rate of citrus fruit recognition and positioning was 93.6%, the average attitude estimation angle error was 7.9°, and the success rate of picking was 85.1%. The average picking time is 5.6 s, indicating that the robot can effectively perform intelligent picking operations.

Discovery of a Highly Potent, Selective and Efficacious USP7 Degrader for the Treatment of Acute Lymphoblastic Leukemia.

USP7 is an attractive therapeutic target for cancers, especially for acute lymphoblastic leukemia (ALL) with wild-type p53. Herein, we report the discovery of XM-U-14 as a highly potent, selective and efficacious USP7 proteolysis-targeting chimera degrader. XM-U-14 achieves DC50 values of 0.74 nM and Dmax of 93% in inducing USP7 degradation in RS4;11 cell lines, and also significantly inhibits ALL cell growth. XM-U-14 even at 5 mg/kg dosed daily effectively inhibits RS4;11 tumor growth with 64.7% tumor regressions and causes no signs of toxicity in mice. XM-U-14 is a promising USP7 degrader for further optimization for ALL treatment.

[Mechanism of Mailuo Shutong Pills on posterior limb muscle swelling caused by femoral fracture in rats based on network pharmacology and experimental verification].

This study aims to investigate the mechanism of Mailuo Shutong Pills(MLST) on posterior limb muscle swelling caused by femoral fracture(SCFF) through network pharmacology and animal experiments. The plasma components of MLST were analyzed by LC-MS, and the target and signal pathway of SCFF were predicted by network pharmacology and verified by molecular docking. SCFF model rats were established through animal experiments, and different doses of MLST were administered to detect the degree of limb swelling. Hematoxylin-eosin(HE) staining was used to observe pathological changes in muscle tissue, and interleukin-6(IL-6), interleukin-1ß(interleukin-1ß), and tumor necrosis factor-α(TNF-α) in peripheral blood were determined by enzyme-linked immunosorbent assay(ELISA). The expression of relevant signaling pathways was measured by Western blot. Network pharmacological results showed that MLST and SCFF had a total of 153 disease targets, and the key targets were IL-6, TNF, etc., involving mitogen-activated protein kinase(MAPK) signaling pathway, phosphatidylinositol 3-kinase(PI3K)/protein kinase B(AKT) signaling pathway, etc. The binding energies of the main components and key targets were lower than-7.0 kcal·mol~(-1), indicating that the network analysis results were reliable. The results of animal experiments showed that MLST could reduce the swelling degree and pathological damage of the posterior limb muscles of SCFF rats compared with the model group. ELISA results showed that MLST could reduce the levels of IL-6, IL-1ß, and TNF-α in the serum of SCFF rats. Western blot results showed that MLST can reduce the expression of p-AKT, p-PI3K, p-NF-κB, p-p38 MAPK, and p-ERK in SCFF rats. MLST may reduce the content of inflammatory factors in serum by regulating the expression of PI3K/AKT and MAPK-related signaling pathway protein and improving posterior limb muscle SCFF in rats.

Discovery of Potent and Selective G9a Degraders for the Treatment of Pancreatic Cancer.

G9a, which was initially identified as a histone H3 Lys9 (H3K9) methyltransferase, is potentially an attractive therapeutic target for human cancers. Despite its importance, there is no available selective G9a chemical probe because its homologous protein GLP shares approximately 80% of its sequence with G9a. The development of G9a chemical probes with high selectivity for G9a over GLP is a big challenge but is extremely valuable for understanding G9a-related biology. Herein, we developed a first-in-class selective G9a degrader G9D-4, which induced a dose- and time-dependent G9a degradation without degradation of GLP. G9D-4 exhibited effective antiproliferative activities in a panel of pancreatic cancer cell lines and was able to sensitize KRASG12D mutant pancreatic cancer cells to KRASG12D inhibitor MRTX1133. These data clearly demonstrated the practicality and importance of a selective G9a degrader as a preliminary chemical probe suitable for understanding G9a-related biology and a promising strategy for the treatment of pancreatic cancer.

Research and Application of Chitosan Nanoparticles in Orthopedic Infections.

Orthopedic infection is one of the most intractable orthopedic problems. Bacteria resistant to antibiotics also develop gradually. Chitosan is widely used in the Biomedical field because of its high biocompatibility, biodegradability, and antibacterial activity. Chitosan-based drug delivery systems are frequently utilized to produce controlled medication release. When combined with antibiotics, synergistic antibacterial effects can be achieved. Chitosan-based nanoparticles are one of the most widely used applications in drug delivery systems. The focus of this review is to provide information on new methods being developed for chitosan-based nanoparticles in the field of bone infection treatment, including chitosan nanoparticles for antibacterial purposes, Ch-loaded with antibiotics, Ch-loaded with metal, and used as immune adjuvants. It may Provide ideas for the fundamental research and the prospects of future clinical applications of orthopedic infections.

Left atrial strain parameters to predicting elevated left atrial pressure in patients with atrial fibrillation.

OBJECTIVES: To assess the ability of left atrial (LA) strain parameters to discriminate patients with elevated left atrial pressure (LAP) from patients with atrial fibrillation (AF). METHODS AND RESULTS: A total of 142 patients with non-valvular AF who underwent first catheter ablation (CA) between November 2022 and November 2023 were enrolled in the study. Conventional and speckle-tracking echocardiography (STE) were performed in all patients within 24 h before CA, and LAP was invasively measured during the ablation procedure. According to mean LAP, the study population was classified into two groups of normal LAP (LAP < 15 mmHg, n = 101) and elevated LAP (LAP ≥ 15 mmHg, n = 41). Compared with the normal LAP group, elevated LAP group showed significantly reduced LA reservoir strain (LASr) [9.14 (7.97-11.80) vs. 20 (13.59-26.96), p < .001], and increased LA filling index [9.60 (7.15-12.20) vs. 3.72 (2.17-5.82), p < .001], LA stiffness index [1.13 (.82-1.46) vs. .47 (.30-.70), p < .001]. LASr, LA filling index and LA stiffness index were independent predictors of elevated LAP after adjusted by the type of AF, EDT, E/e', mitral E, and peak acceleration rate of mitral E velocity. The receiver-operating characteristic curve (ROC) analysis showed LA strain parameters (area under curve [AUC] .794-.819) could provide similar or greater diagnostic accuracy for elevated LAP, as compared to conventional echocardiographic parameters. Furthermore, the novel algorithms built by LASr, LA stiffness index, LA filling index, and left atrial emptying fraction (LAEF), was used to discriminate elevated LAP in AF with good accuracy (AUC .880, accuracy of 81.69%, sensitivity of 80.49%, and specificity of 82.18%), and much better than 2016 ASE/EACVI algorithms in AF. CONCLUSION: In patients with AF, LA strain parameters could be useful to predict elevated LAP and non-inferior to conventional echocardiographic parameters. Besides, the novel algorithm built by LA strain parameters combined with conventional parameters would improve the diagnostic efficiency.

Unveiling community adaptations to extreme heat events using mobile phone location data.

The escalating frequency, duration, and intensity of extreme heat events have posed a significant threat to human society in recent decades. Understanding the dynamic patterns of human mobility under extreme heat will contribute to accurately assessing the risk of extreme heat exposure. This study leverages an emerging geospatial data source, anonymous cell phone location data, to investigate how people in different communities adapt travel behaviors responding to extreme heat events. Taking the Greater Houston Metropolitan Area as an example, we develop two indices, the Mobility Disruption Index (MDI) and the Activity Time Shift Index (ATSI), to quantify diurnal mobility changes and activity time shift patterns at the city and intra-urban scales. The results reveal that human mobility decreases significantly in the daytime of extreme heat events in Houston while the proportion of activity after 8 p.m. is increased, accompanied with a delay in travel time in the evening. Moreover, these mobility-decreasing and activity-delaying effects exhibited substantial spatial heterogeneity across census block groups. Causality analysis using the Geographical Convergent Cross Mapping (GCCM) model combined with correlation analyses indicates that people in areas with a high proportion of minorities and poverty are less able to adopt heat adaptation strategies to avoid the risk of heat exposure. These findings highlight the fact that besides the physical aspect of environmental justice on heat exposure, the inequity lies in the population's capacity and knowledge to adapt to extreme heat. This research is the first of the kind that quantifies multi-level mobility for extreme heat responses, and sheds light on a new facade to plan and implement heat mitigations and adaptation strategies beyond the traditional approaches.

Unleashing metabolic power for axonal regeneration.

Axon regeneration requires the mobilization of intracellular resources, including proteins, lipids, and nucleotides. After injury, neurons need to adapt their metabolism to meet the biosynthetic demands needed to achieve axonal regeneration. However, the exact contribution of cellular metabolism to this process remains elusive. Insights into the metabolic characteristics of proliferative cells may illuminate similar mechanisms operating in axon regeneration; therefore, unraveling previously unappreciated roles of metabolic adaptation is critical to achieving neuron regrowth, which is connected to the therapeutic strategies for neurological conditions necessitating nerve repairs, such as spinal cord injury and stroke. Here, we outline the metabolic role in axon regeneration and discuss factors enhancing nerve regrowth, highlighting potential novel metabolic treatments for restoring nerve function.

Feasibility of dose calculation for treatment plans using electron density maps from a novel dual-layer detector spectral CT simulator.

BACKGROUND: Conventional single-energy CT can only provide a raw estimation of electron density (ED) for dose calculation by developing a calibration curve that simply maps the HU values to ED values through their correlations. Spectral CT, also known as dual-energy CT (DECT) or multi-energy CT, can generate a series of quantitative maps, such as ED maps. Using spectral CT for radiotherapy simulations can directly acquire ED information without developing specific calibration curves. The purpose of this study is to assess the feasibility of utilizing electron density (ED) maps generated by a novel dual-layer detector spectral CT simulator for dose calculation in radiotherapy treatment plans. METHODS: 30 patients from head&neck, chest, and pelvic treatment sites were selected retrospectively, and all of them underwent spectral CT simulation. Treatment plans based on conventional CT images were transplanted to ED maps with the same structure set, including planning target volume (PTV) and organs at risk (OARs), and the dose distributions were then recalculated. The differences in dose and volume histogram (DVH) parameters of the PTV and OARs between the two types of plans were analyzed and compared. Besides, gamma analysis between these plans was performed by using MEPHYSTO Navigator software. RESULTS: In terms of PTV, the homogeneity index (HI), gradient index (GI), D2%, D98%, and Dmean showed no significant difference between conventional plans and ED plans. For OARs, statistically significant differences were observed in parotids D50%, brainstem in head&neck plans, spinal cord in chest plans and rectum D50% in pelvic plans, whereas the variance remained minor. For the rest, the DVH parameters exhibited no significant difference between conventional plans and ED plans. All of the mean gamma passing rates (GPRs) of gamma analysis were higher than 90%. CONCLUSION: Compared to conventional treatment plans relying on CT images, plans utilizing ED maps demonstrated similar dosimetric quality. However, the latter approach enables direct utilization in dose calculation without the requirements of establishing and selecting a specific Hounsfield unit (HU) to ED calibration curve, providing an advantage in clinical applications.